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Journal articles on the topic 'Churu language'

Author: Grafiati

Published: 25 July 2024

Last updated: 31 July 2025

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1

Cooper, Ilay. "The painted walls of Churu, Jhunjhunu and Sikar districts of Rajasthan." South Asian Studies 2, no. 1 (1986): 21–35. http://dx.doi.org/10.1080/02666030.1986.9628342.

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Dinh, Huong Thao, Huu Dinh Tran, and Thuy Duong Nguyen. "The genetic structures of the Churu, Ede and Giarai unravelled by complete mitochondrial DNA." Academia Journal of Biology 46, no. 3 (2024): 63–72. http://dx.doi.org/10.15625/2615-9023/18604.

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Vietnam, a nation with a rich and complex history of migration and settlement, is home to 5 fundamental language families: Austroasiatic (AA), Tai-Kadai (TK), Austronesian (AN), Sino-Tibetan (ST) and Hmong-Mien (HM). Among them is the Austronesian, a language family substantial in island Southeast Asia (ISEA) but marginal in mainland counterpart (MSEA), constituted five Vietnamese ethnolinguistic groups. Here, we analyzed the control region, and the complete mitochondrial DNA (mtDNA) of 121 individuals from 3 AN-speaking populations (Churu, Ede, and Giarai). To explore the molecular diversity,

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Dr., Amit Saraswat. "Rathi – The Desert Rani." Science World a monthly e magazine 2, no. 3 (2022): 308–12. https://doi.org/10.5281/zenodo.6371197.

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Rathi is a mosaic indigenous breed, believed to be evolved from Sahiwal, Tharparkar, Dhanni and Red Sindhi breeds. It is also known as “Desert Rani”. It is believed that the word “Rathi” was coined by the local people in Lunkaransar area of Rajasthan. The actual meaning of Rathi in Marwar language is ‘very docile and calm animal’. While some believes that Rathi name might have originated from a pastoral tribe called Raths who are muslims of Rajput extraction and lead a nomadic life. Home tract of Rathi cattle is mainly Lunkaransar Tehsil of Bikaner district

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Abhinav S. Thorat, Et al. "Optimizing Churn Identification in Telecommunications Using Natural Language Processing and XG Boost Machine Learning Paradigm." International Journal on Recent and Innovation Trends in Computing and Communication 11, no. 9 (2023): 4226–32. http://dx.doi.org/10.17762/ijritcc.v11i9.9873.

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With the increasing competition in the telecom sector, accurate churn prediction has become indispensable for service providers seeking to retain customers. This research paper introduces a novel approach that combines Machine Learning (ML) and Natural Language Processing (NLP) and specifically leveraging the XGBoost algorithm, to enhance the precision and efficiency of churn prediction in the telecom industry. The integration of NLP enables the extraction of meaningful insights from diverse data sources, while XGBoost, a powerful gradient boosting algorithm, is employed to build a robust pred

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Kahnami, Leila, Julia Young, Jason Brophy, Lena Serghides, Ari Bitnun, and Mary Lou Smith. "59 Perinatal Risk Factors and Cognitive Outcomes in Children HIV-Exposed, Uninfected." Journal of the International Neuropsychological Society 29, s1 (2023): 55–56. http://dx.doi.org/10.1017/s1355617723001418.

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Objective:Children who are HIV-exposed uninfected (CHEU) are at risk of neurodevelopmental impairments due to perinatal HIV and antiretroviral therapy exposure as well as additional health and psychosocial burdens. There is limited understanding of the impact of perinatal risk factors on long-term outcomes of CHEU. The present study investigated the association between perinatal risk factors and the intellectual and language abilities in CHEU and children who are HIV-unexposed uninfected (CHUU).Participants and Methods:CHEU and CHUU, 6 to 10 years, of age underwent neurodevelopmental assessmen

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Haokip, Dr D. Mary Kim, and Lorina D Tariang. "SEGMENTAL PHONOLOGY OF KAIPENG." JOURNAL OF ENGLISH LANGUAGE AND LITERATURE 11, no. 04 (2024): 16–32. https://doi.org/10.54513/joell.2024.11403.

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This paper aims to present the segmental phonology of Kaipeng, an endangered language spoken in the two North-Eastern states namely, Tripura and Mizoram. The total number of Kaipeng speakers in Tripura is approximately 15000. The term Kaipeng is used to represent both the language and the people. The word ‘Kaipeng’ is derived from two words: kai meaning ‘to lead’ and peng meaning ‘another way or path’. Thus, Kaipeng literally means leading someone towards another path. Linguistically, Kaipeng belongs to the Kuki-Chin sub-group of the Tibeto Burman language family. It has close affinities with

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Almuqren, Latifah, Fatma S. Alrayes, and Alexandra I. Cristea. "An Empirical Study on Customer Churn Behaviours Prediction Using Arabic Twitter Mining Approach." Future Internet 13, no. 7 (2021): 175. http://dx.doi.org/10.3390/fi13070175.

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With the rising growth of the telecommunication industry, the customer churn problem has grown in significance as well. One of the most critical challenges in the data and voice telecommunication service industry is retaining customers, thus reducing customer churn by increasing customer satisfaction. Telecom companies have depended on historical customer data to measure customer churn. However, historical data does not reveal current customer satisfaction or future likeliness to switch between telecom companies. The related research reveals that many studies have focused on developing churner

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Shahabikargar, Maryam, Amin Beheshti, Wathiq Mansoor, et al. "ChurnKB: A Generative AI-Enriched Knowledge Base for Customer Churn Feature Engineering." Algorithms 18, no. 4 (2025): 238. https://doi.org/10.3390/a18040238.

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Customers are the cornerstone of business success across industries. Companies invest significant resources in acquiring new customers and, more importantly, retaining existing ones. However, customer churn remains a major challenge, leading to substantial financial losses. Addressing this issue requires a deep understanding of customers’ cognitive status and behaviours, as well as early signs of churn. Predictive and Machine Learning (ML)-based analysis, when trained with appropriate features indicative of customer behaviour and cognitive status, can be highly effective in mitigating churn. A

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Malleswari, M., R. J. Manira, Praveen Kumar, and Murugan . "Comparative Analysis of Machine Learning Techniques to Identify Churn for Telecom Data." International Journal of Engineering & Technology 7, no. 3.34 (2018): 291. http://dx.doi.org/10.14419/ijet.v7i3.34.19210.

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Big data analytics has been the focus for large scale data processing. Machine learning and Big data has great future in prediction. Churn prediction is one of the sub domain of big data. Preventing customer attrition especially in telecom is the advantage of churn prediction. Churn prediction is a day-to-day affair involving millions. So a solution to prevent customer attrition can save a lot. This paper propose to do comparison of three machine learning techniques Decision tree algorithm, Random Forest algorithm and Gradient Boosted tree algorithm using Apache Spark. Apache Spark is a data p

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Yan, Jialu. "AI-driven Streaming Customer Churn Prediction and Management Research." Mathematical Modeling and Algorithm Application 3, no. 3 (2025): 1–4. https://doi.org/10.54097/6vyn3t22.

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Against the backdrop of increasingly fierce competition in the streaming media field, how to prevent customer churn has become a severe test faced by major operating platforms. The use of artificial intelligence technology, especially in-depth mining and analysis of customer behavior data, provides solid support for predicting and responding to customer churn. This article aims to study how to use AI technology to accurately identify potential customer groups that may be lost and develop targeted management strategies from the perspectives of machine learning, deep learning, natural language p

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Sonawane, Vijay R., Abhinav S. Thorat, Jaya R. Suryawanshi, Ravindra G. Dabhade, Megharani Patil, and Bhausaheb Musmade. "Churn Identification and Prediction from a Large-Scale Telecommunication Dataset Using NLP." International Journal on Recent and Innovation Trends in Computing and Communication 11, no. 7 (2023): 39–46. http://dx.doi.org/10.17762/ijritcc.v11i7.7828.

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The identification of customer churn is a major issue for large telecom businesses. In order to manage the data of current customers as well as acquire and manage new customers, every day, a substantial volume of data gets generated. Therefore, it's crucial to identify the causes of client churn so that the appropriate steps can be taken to lower it. Numerous researchers have already discussed their efforts to combine static and dynamic approaches in order to reduce churn in big data sets, but these systems still have many issues when it comes to actually identifying churn. In this paper, we s

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Green, Freddy, Christopher du Plooy, Andrea M. Rehman, et al. "Language outcomes of preschool children who are HIV-exposed uninfected: An analysis of a South African cohort." PLOS ONE 19, no. 4 (2024): e0297471. http://dx.doi.org/10.1371/journal.pone.0297471.

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Introduction There are approximately 16 million children who are HIV-exposed and uninfected (CHEU) worldwide. Studies suggest that CHEU are at risk for developmental impairment in infancy, particularly in language domains. However, there is limited research examining neurocognitive function in CHEU older than 2 years, including important pre-school years. This study aimed to investigate associations between HIV exposure without infection and neurocognitive outcomes and to determine risk factors for neurodevelopment in CHEU at age 3–4 years. Methods The Drakenstein Child Health Study is a South

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Scharf, Peter M. "Pāṇini Re-interpreted. By Charu Deva Shastri". Historiographia Linguistica 18, № 2-3 (1991): 399–402. http://dx.doi.org/10.1075/hl.18.2-3.20sch.

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Zatonatska, Tetiana, Yana Fareniuk, and Viktor Shpyrko. "Churn Rate Modeling for Telecommunication Operators Using Data Science Methods." Marketing and Management of Innovations 14, no. 2 (2023): 163–73. http://dx.doi.org/10.21272/mmi.2023.2-15.

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The telecommunication company functioned in the market with extremely high competitiveness. Attracting new customers needs 5-10 times more expenses than maintaining an existing one. As a result, effective customer churn management and analysis of the reasons for customer churn are vital tasks for telecommunication operators. As a result, predicting subscriber churn by switching on the competitors becomes very important. Data Science and machine learning create enormous opportunities for solving this task to evaluate customer satisfaction with company services, determine factors that cause disa

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Li, Feng, Yujun Hu, and Lingling Wang. "Case-Based Teaching for Python Language Under the Background of Big Data." WSEAS TRANSACTIONS ON INFORMATION SCIENCE AND APPLICATIONS 19 (July 6, 2022): 153–60. http://dx.doi.org/10.37394/23209.2022.19.15.

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This paper proposes a new teaching method for the Python language programming course, which can better enable students to understand and use in the background of big data. Python is an open-source programming language with a community-based model. In this paper, firstly, various functions are described in Python Language. Additionally, different application areas are presented in this paper, such as transportation logistics, urban management, biomedical field, smart power grid, energy field, and commercial field. Finally, bank customer churn as case-based teaching is introduced can improve the

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Zaidan, Henrique Pinto dos Santos. "Application of the Beta Distribution Model to the Customer Churn Rate." Socioeconomic Analytics 1 (August 7, 2023): 78–91. http://dx.doi.org/10.51359/2965-4661.2023.259280.

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The beta distribution model has been applied in many different research environments due to the flexibility of its two parameters. In this research, we fit this probabilistic model for mod- eling a recurring problem confronted for many businesses called the customer churn rate (or churn rate). It represents the proportion of customers who cancel their subscriptions after a given time. We use data from a Brazilian media service company to develop the modeling. The parameters are estimated by the maximum likelihood estimation (MLE) technique. Finally, we perform the MLE technique by considering

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Zhou, Yancong, Wenyue Chen, Xiaochen Sun, and Dandan Yang. "Early warning of telecom enterprise customer churn based on ensemble learning." PLOS ONE 18, no. 10 (2023): e0292466. http://dx.doi.org/10.1371/journal.pone.0292466.

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Analyzing customers’ characteristics and giving the early warning of customer churn based on machine learning algorithms, can help enterprises provide targeted marketing strategies and personalized services, and save a lot of operating costs. Data cleaning, oversampling, data standardization and other preprocessing operations are done on 900,000 telecom customer personal characteristics and historical behavior data set based on Python language. Appropriate model parameters were selected to build BPNN (Back Propagation Neural Network). Random Forest (RF) and Adaboost, the two classic ensemble l

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Ramsey, Gregory W., and Sanjay Bapna. "A Technique to Exploit Free-Form Notes to Predict Customer Churn." International Journal of Computational Models and Algorithms in Medicine 4, no. 1 (2014): 1–16. http://dx.doi.org/10.4018/ijcmam.2014010101.

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As healthcare costs rise, hospitals are seeking ways to improve operations. This paper examines the usefulness of free-form notes to solve a classification problem commonly associated with customer churn. The authors show that classifiers which incorporate free-form notes, using natural language processing techniques, are up to 9% more accurate than classifiers that are solely developed using structured data. The authors suggest that hospitals and chronic disease management clinics can use structured data and free-form notes from electronic health records to predict which patients are likely t

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De Cia, Simone, and Mariangela Cerullo. "Towards a Typology of Zero Aboutness: Expletive A in Fornese and Chiru in Cilentano." Languages 9, no. 2 (2024): 60. http://dx.doi.org/10.3390/languages9020060.

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This paper investigates the syntactic–pragmatic behavior of two expletive-like elements, namely a and chiru, in Fornese and Cilentano, two Romance varieties spoken in Northern and Southern Italy, respectively. We argue that a and chiru are not bona fide expletive subjects but discourse-pragmatic expletives, which mark zero aboutness or the absence of an aboutness referent in an utterance. The investigation of Fornese and Cilentano points towards the existence of a sub-class of null-subject languages where aboutness as a discourse feature must be structurally satisfied by merging an overt or nu

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Kaur, Arvinder, and Deepti Chopra. "Entropy Churn Metrics for Fault Prediction in Software Systems." Entropy 20, no. 12 (2018): 963. http://dx.doi.org/10.3390/e20120963.

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Fault prediction is an important research area that aids software development and the maintenance process. It is a field that has been continuously improving its approaches in order to reduce the fault resolution time and effort. With an aim to contribute towards building new approaches for fault prediction, this paper proposes Entropy Churn Metrics (ECM) based on History Complexity Metrics (HCM) and Churn of Source Code Metrics (CHU). The study also compares performance of ECM with that of HCM. The performance of both these metrics is compared for 14 subsystems of 5different software projects

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Long, Duane. "‘Gaedhilg Chúige Uladh a shábhailt’: An phleanáil teanga in An tUltach [‘Gaedhilg Chúige Uladh a shábhailt’: Language planning in An tUltach]." TEANGA, the Journal of the Irish Association for Applied Linguistics 31 (November 15, 2024): 162–80. http://dx.doi.org/10.35903/teanga.v31i.7482.

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Aithnítear go bhfuil ceithre bhunmhúnla sa phleanáil teanga. Is iad siúd pleanáil an chorpais, pleanáil an stádais, pleanáil an tsealbhaithe agus pleanáil an ghradaim. Is é aidhm an ailt seo ná na múnlaí seo a phlé mar ar úsáideadh iad chun Gaeilge Uladh a chur chun tosaigh san iris An tUltach sna 1920idí. Is cosúil go raibh sé mar aidhm thosaigh ag An tUltach díriú ar phleanáil an chorpais nó tá sé luaite go ndéanfar iarracht Gaeilge “a chur síos i leabhraibh” sa chéad eagrán den iris agus gairm ar scríbhneoirí ann. Feictear fosta, ámh, go raibh pleanáil an tsealbhaithe go mór ar inchinn ag l

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Prashanthan, Amirthanathan, Rinzy Roshan, and MWP Maduranga. "RetenNet: A Deployable Machine Learning Pipeline with Explainable AI and Prescriptive Optimization for Customer Churn Management." Journal of Future Artificial Intelligence and Technologies 2, no. 2 (2025): 182–201. https://doi.org/10.62411/faith.3048-3719-110.

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This study presents RetenNet, a comprehensive framework for managing customer churn in telecommunications, integrating predictive modelling, prescriptive optimization, and explainable artificial intelligence (XAI) incorporated with Large Language Models (LLMs). The process commences with the IBM Telco dataset, divided in an 80:20 ratio into training and testing sets. Categorical variables are converted by one-hot and label encoding, whilst class imbalance is mitigated using SMOTEENN. Min-max scaling and mutual information-based feature selection guarantee data appropriateness for machine learn

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KOKO, Joe BALANGA, Guylit KIALA LUTUMBA, Francis KANGA SALU, et al. "Machine Learning-based Customer Churn Analysis in Telecommunications Using Support Vector Machines." Asian Journal of Research in Computer Science 18, no. 5 (2025): 187–203. https://doi.org/10.9734/ajrcos/2025/v18i5648.

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Faced with globalization and increasing competition, the information available via the Internet and the many connected objects continues to increase. This explosion of data, often heterogeneous and from diverse sources, poses major challenges in terms of storage, analysis and exploitation. This paper is the result of the present research on the analysis and classification of churning customers in a telecommunications company. These data, often heterogeneous and coming from various sources, require in-depth analysis as well as new storage and exploration paradigms to extract value from them. Th

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Peñín Llobell, Alberto. "Entrevista a Fabrizio Barozzi." Palimpsesto, no. 23 (July 2021): 2–4. http://dx.doi.org/10.5821/palimpsesto.23.10729.

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Fabrizio Barozzi welcomes us in his office in the Eixample, a characteristic space of the city. An intense activity is perceived in an environment that breathes tranquility and order at the same time. In the waiting area, a sequence of photographs define the work process of the Chur museum, taken from the same point inside the work at different moments of it. Accurate and beautiful. Fabrizio Barozzi nos recibe en su despacho en el Ensanche Barcelonés. Un espacio característico de la ciudad con sus techos altos, luz natural, carpinterías de madera, suelos hidráulicos... Se percibe una intensa a

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Rodrigues dos Santos, Dayse. "THE DIATOPIC VARIANTS CUSCO, ZAINO, CHIRU AND ILHÉU IN BRAZILIAN PORTUGUESE." Nueva revista del Pacífico, no. 74 (June 2021): 223–42. http://dx.doi.org/10.4067/s0719-51762021000100223.

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San Jose, Dominic Bryan S., and Dennis V. Madrigal. "Lost in Translation: Experiences of the Japanese Senior Citizens in Learning the English Language." Philippine Social Science Journal 6, no. 2 (2023): 16–26. http://dx.doi.org/10.52006/main.v6i2.748.

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Older adults or third-age learners, despite their age, are growing more enthusiastic about learning English. In Japan, 18.2% of English learners are from the third-age learners' group. This phenomenological study explored the lived experiences of Japanese third-age learners in learning English in Japan's Chubu region. Eight (8) Japanese third-age learners were identified as participants using a purposive sampling technique and inclusion criteria. Results demonstrated that, in essence, their experiences in learning English constituted a complex interplay of three major themes: motivations, adve

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CARTLIDGE, NEIL. "THE SOURCE OF JOHN LYDGATE‘S THE CHURL AND THE BIRD." Notes and Queries 44, no. 1 (1997): 22–24. http://dx.doi.org/10.1093/nq/44-1-22.

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CARTLIDGE, NEIL. "THE SOURCE OF JOHN LYDGATE‘S THE CHURL AND THE BIRD." Notes and Queries 44, no. 1 (1997): 22–24. http://dx.doi.org/10.1093/nq/44.1.22.

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Morelli, Frank, and Nils Blessing. "Application of Artificial Intelligence to improve Customer Understanding: Transformer based Topic Modeling in practice." Anwendungen und Konzepte der Wirtschaftsinformatik, no. 16 (December 24, 2022): 15. http://dx.doi.org/10.26034/lu.akwi.2022.3411.

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Since the past few years, so-called pre-trained Language Models (PLM) are considered state-of-the-art in the field of Natural Language Processing (NLP) and are thus experiencing widespread and successful application. In addition to traditional supervised Machine Learning (ML) tasks such as spam email or customer churn classification, this technology opens up advanced approaches to unsupervised learning and data analytics in general. One of particular interest is the automatic identification of latent topics within a large collection of texts, also known as Topic Modeling (TM). Such modelling a

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Chajia, Meryem, and El Habib Nfaoui. "Customer Churn Prediction Approach Based on LLM Embeddings and Logistic Regression." Future Internet 16, no. 12 (2024): 453. https://doi.org/10.3390/fi16120453.

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Nowadays, predicting customer churn is essential for the success of any company. Loyal customers generate continuous revenue streams, resulting in long-term success and growth. Moreover, companies are increasingly prioritizing the retention of existing customers due to the higher costs associated with attracting new ones. Consequently, there has been a growing demand for advanced methods aimed at enhancing customer loyalty and satisfaction, as well as predicting churners. In our work, we focused on building a robust churn prediction model for the telecommunications industry based on large embe

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Piplai (Mondal), Dripta, Abhijith N. Arjunan, and Suma Chisti. "Translation, standard language ideology and the erosion of regional linguistic practices: The Rajbanshi example." Cadernos de Tradução 45, Special Issue 1 (2025): 1–15. https://doi.org/10.5007/2175-7968.2025.e105647.

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This study examines the decisive role of translation as a method of linguistic documentation and its implications for language standardisation, focusing on the case of Rajbanshi, a language spoken in northeastern India. It critically engages with Charu Chandra Sanyal’s (1965) documentation of Rajbanshi in relation to earlier colonial initiatives, particularly Grierson’s Linguistic Survey of India (1909), which employed translation as a primary tool for data collection. While translation has historically been seen as a neutral mechanism for representing linguistic diversity, this study argues t

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Vreede-de Stuers, C. "Churi: the fragile position of women in muslim marriage in North India." Bijdragen tot de taal-, land- en volkenkunde / Journal of the Humanities and Social Sciences of Southeast Asia 148, no. 2 (1992): 270–86. http://dx.doi.org/10.1163/22134379-90003156.

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Batta, Anuj, Arpan Kumar Kar, and Shyamali Satpathy. "Cross-Platform Analysis of Seller Performance and Churn for Ecommerce Using Artificial Intelligence." Journal of Global Information Management 31, no. 1 (2023): 1–21. http://dx.doi.org/10.4018/jgim.322439.

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Suppliers and sellers play a crucial role in the ecommerce ecosystem. Sellers and ecommerce firms use social media to increase user engagement, visibility, and sales. Seller ratings are as important as the product ratings on ecommerce platforms to drive buying decisions. Based on sellers' actions on social media, this study examines seller turnover and disengagement on e-commerce platforms. The study has been supported by the justice theory. Seller reviews and ratings from e-commerce platforms and conversations from social media platforms have been gathered. Using natural language processing,

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Flynn, Colin J., Pádraig Ó Duibhir, Laoise Ní Thuairisg, Colm Ó Ciardubháin, and Gearóidín Uí Laighléis. "Féiniúlacht agus Inspreagadh i gcás Cúntóirí Teanga i Scoileanna Gaeltachta." TEANGA, the Journal of the Irish Association for Applied Linguistics 28 (December 9, 2021): 151–75. http://dx.doi.org/10.35903/teanga.v28i.728.

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San alt seo, cuirtear i láthair taighde a rinneadh ar ghnéithe éagsúla de chur i bhfeidhm Scéim na gCúntóirí Teanga (an Scéim feasta) atá á reáchtáil ag an Roinn Turasóireachta, Cultúir, Ealaíon, Gaeltachta, Spóirt agus na Meán. Cuireann an Scéim, atá ar bun ó bhí 1999 ann, cúntóirí teanga ar fáil do scoileanna Gaeltachta d’fhonn an Ghaeilge a láidriú mar theanga labhartha i measc daltaí scoile sna ceantair sin. Ba é aidhm mhór an tionscadail taighde ná iniúchadh a dhéanamh ar staid reatha na Scéime agus ina dhiaidh sin moltaí chun feabhais a chur ar fáil. Úsáideadh ceistneoirí, agallaimh agus

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Taherkhani, Leila, Amir Daneshvar, Hossein Amoozad Khalili, and Mohamad Reza Sanaei. "Analysis of the Customer Churn Prediction Project in the Hotel Industry Based on Text Mining and the Random Forest Algorithm." Advances in Civil Engineering 2023 (August 24, 2023): 1–8. http://dx.doi.org/10.1155/2023/6029121.

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The ability of hotels to differentiate themselves from competitors and continue to operate profitably depends on their ability to retain their customers by building long-term and permanent customer relationships. Technological developments in recent years have made it possible for companies to predict their customers’ behavior by accessing their opinions faster and preventing them from churning. Managing customer churn prediction projects has become an important issue today, especially in the hotel industry. Therefore, this research seeks to analyze projects that predict the churn of hotel cus

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Luo, Sihang. "Research on the Analysis of Disney+ Consumer Behavior and Marketing Strategy Based on R Language." SHS Web of Conferences 207 (2024): 01010. https://doi.org/10.1051/shsconf/202420701010.

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This paper explores the current position of Disney+ within the fiercely competitive streaming market, emphasizing its rapid growth and significant impact on both the Walt Disney Company and the broader industry. While existing research has primarily focused on the critical role of content and technology in the success of Disney+, this study goes further by developing a comprehensive research framework to analyze the platform’s strategic approach, market segmentation, and potential avenues for future development. Despite its achievements, Disney+ has faced considerable challenges since 2023, in

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Researcher. "INTEGRATION OF SALESFORCE EINSTEIN AI IN CUSTOMER RELATIONSHIP MANAGEMENT." International Journal of Computer Engineering and Technology (IJCET) 15, no. 4 (2024): 897–914. https://doi.org/10.5281/zenodo.13614307.

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This article explores the transformative impact of Salesforce Einstein AI on Customer Relationship Management (CRM) systems. It examines how Einstein AI's suite of machine learning, natural language processing, and predictive analytics capabilities are revolutionizing how businesses interact with customers and make data-driven decisions. The article provides an overview of Einstein AI's key components and discusses its predictive capabilities for lead scoring, sales forecasting, and churn prediction. It also analyzes how Einstein AI enhances customer experiences through personalized recommenda

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Morimoto, Mizuki, Nobutoshi Nawa, Eriko Okada, et al. "Elucidation of the needs for telecritical care services in Japan: a qualitative study." BMJ Open 13, no. 11 (2023): e072065. http://dx.doi.org/10.1136/bmjopen-2023-072065.

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ObjectiveTo clarify the reasons for consultation, advice sought by frontline physicians and relationship between the patient’s pathology and the type of advice provided to guide the future development of telecritical care services.DesignSecondary analysis of transcripts of telephone calls originally recorded for quality control purposes was conducted using a thematic content analysis. The calls were conducted between December 2019 and April 2021 (total cases: 70; total time: ~15 hour).SettingsIntensivists provided consultation services to frontline physicians at secondary care institutions in

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Carrasco, Ramón Alberto, María Francisca Blasco, Jesús García-Madariaga, Ana Pedreño-Santos, and Enrique Herrera-Viedma. "A MODEL TO OBTAIN A SERVPERF SCALE EVALUATION OF THE CRM CUSTOMER COMPLAINTS: AN APPLICATION TO THE 4G TELECOMMUNICATIONS SECTOR." Technological and Economic Development of Economy 24, no. 4 (2018): 1606–29. http://dx.doi.org/10.3846/tede.2018.5080.

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The relationship between customer churn and their complaints is sufficiently contrasted in the telecom sector. Therefore, a key part of a company’s strategy is the measurement of this dissatisfaction. It is important to conduct periodic surveys on complaints in a standard form like the SERVPERF scale because it enables the organization to benchmark. Many of these complaints are stored in the company’s CRM. Our first aim is to define a model to transform CRM customer complaints, expressed in natural language, into SERVPERF scales. In the proposed model, we use the 2-tuple model, which allows co

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Schaefer, Kimberly M., Michele R. Hacker, Summer S. Hawkins, and Rose L. Molina. "Association of Insurance Changes With Postpartum Prescription Contraception Uptake." O&G Open 1, no. 4 (2024): 047. http://dx.doi.org/10.1097/og9.0000000000000047.

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OBJECTIVE: To assess the association between postpartum insurance churn and postpartum contraception, with specific attention to race, ethnicity, language, and Medicaid expansion status. METHODS: We conducted a retrospective cohort study with Pregnancy Risk Assessment Monitoring System survey data (2012–2020) from 42 states. Insurance status, assessed more than 2 months after childbirth, was categorized as continuous insurance, insurance loss, discontinuous Medicaid-to-private, discontinuous private-to-Medicaid, continuous uninsurance, and gain of insurance. We used logistic regression to esti

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Bergstrom, Kelly, and Nathaniel Poor. "Signaling the Intent to Change Online Communities: A Case From a Reddit Gaming Community." Social Media + Society 8, no. 2 (2022): 205630512210968. http://dx.doi.org/10.1177/20563051221096817.

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This study builds on existing research about churn and community movement, examining if language use on Reddit can be used to determine if people signal their intent to relocate to a new community before they actually do so. Using a computational and semantic approach, we studied the subreddits for the game series Fallout at the time Fallout 76 ( FO76) was released to see if the users of the Fallout 4 ( FO4) subreddit signaled how they would react to the new subreddit. The main difference we found was that those who stay in the FO4 subreddit or use both subreddits on average post more often an

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Kramarenko, I. V., and L. A. Konstantinova. "Features of using Cox regression in various instrumental environments." Vestnik Universiteta, no. 10 (November 27, 2022): 80–88. http://dx.doi.org/10.26425/1816-4277-2022-10-80-88.

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The presence of large amounts of data in information and analytical systems makes it necessary to study them using machine learning and artificial intelligence methods. These models require the definition of tuning parameters related to the specifics of the subject area. The article presents a Cox regression model to solve the problem of customer churn. Cox regression is recognized as a model with high accuracy of predictions in healthcare. Therefore, it is interesting to use the model in other industries. The paper presents the results and comparative analysis of calculations on the Cox model

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Kilkki, Kalevi. "Quality of Experience in Communications Ecosystem." JUCS - Journal of Universal Computer Science 14, no. (5) (2008): 615–24. https://doi.org/10.3217/jucs-014-05-0615.

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Communications ecosystem covers a huge area from technical issues to business models and human behaviour. Due to this extreme diversity various societies need to discuss with each other, each of them using their own language. Engineers talk about network performance and quality of service, business people talk about average revenue per user and customer churn while behavioural scientists talk about happiness and experiences. Thus, everyone who wants to understand, or even analyze, the whole ecosystem, has to deal with all these diverse issues. In addition to the apparent communication problems

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Ganesan, Chitrapradha Ganesan. "The Role of Machine Learning in Automating Sales Processes and Customer Support within CRM Systems." International Journal of Intelligent Systems and Applications in Engineering (IJISAE) 12, no. 23s (2024): 2851–59. https://doi.org/10.5281/zenodo.15597591.

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In the era of AI, the integration of ML in CRM has significantly transformed how sales automation and customer support is conducted. This includes the use of ML to improve predictive analytics, lead scoring, customer segmentation, and the intelligent automation of sales workflows. Furthermore, it also globalizes that of natural language processing (NLP) and conversational AI in terms of automated customer interaction, optimizing response times and customer satisfaction. The contributions of advanced ML models such as deep learning and reinforcement learning toward sales forecasting, churn pred

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Kakridis, Yannis. "Problems of Lemmatization in bilingual indices to Churc Slavonic translations of the 14th century: The case of the Synaxaria in triodium et pentecostarium." Knj. 68(2017) 68 (2017): 85–95. http://dx.doi.org/10.21857/yq32oh4lg9.

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Chaudhary, Rachna. "Rewriting Charu Khurana and Others v. Union of India and Others for the Indian Feminist Judgments Project: Some Reflections." Revista Direito e Práxis 14, no. 4 (2023): 2712–42. http://dx.doi.org/10.1590/2179-8966/2023/79472i.

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Abstract This article is semi-experiential, written from the vantage point of a critical insider/outsider as the author has no formal degree in Law but her research at the intersections of law and feminism and her teaching experience as a Political Science faculty in a law school, for seven years, mark her as an insider. This specificity or rather ambiguity of her location aids in an act of appropriation and subversion in keeping with the vision of the Feminist Judgments Projects from different parts of the world, to rupture the Law’s/judges’ claim to exclusivity of judging. The key objective

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Prakash, Divya. "OptiMediaAI :Transforming Customer Support with AI-Driven Video Innovation." International Journal for Global Academic & Scientific Research 3, no. 4 (2025): 62–79. https://doi.org/10.55938/ijgasr.v3i4.155.

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In a world where customer satisfaction is paramount, this paper introduces an innovative breakthrough that revolutionizes customer support experiences. The AI-Powered Video Customer Care Solution, VidAi, combines cutting-edge technologies to reshape customer interactions. Effective communication and problem-solving are crucial for maintaining client happiness in the modern customer care environment. This model pioneers a new era of engagement by seamlessly integrating AI, machine learning, video communication, and gesture recognition. The solution unlocks aspects of customized engagement, deep

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Ó Duibhir, Pádraig, and Laoise Ní Thuairisg. "Cur siar mhúineadh an Bhéarla i mbunscoileanna Gaeltachta: más mall is mithid." TEANGA, the Journal of the Irish Association for Applied Linguistics 10 (March 6, 2019): 228–42. http://dx.doi.org/10.35903/teanga.v10i0.80.

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Bhí iliomad coiste, comhairle, agus coimisiúin a rinne iniúchadh ar an gcóras oideachais Gaeltachta i gcaitheamh na mblianta ó 1926 i leith. Tugadh neamhaird den chuid is mó ar mholtaí na dtuarascálacha éagsúla go dtí gur foilsíodh Curaclam Teanga na Bunscoile (An Chomhairle Náisiúnta Curaclaim agus Measúnachta, 2015) agus an Polasaí don Oideachas Gaeltachta (An Roinn Oideachais agus Scileanna, 2016). Ceadaítear tréimhse tumadh iomlán sa Ghaeilge den chéad uair de réir na moltaí sna cáipéisí sin. Ardaíonn sé seo ceisteanna do scoileanna Gaeltachta maidir le riachtanais oideachais teanga cainte

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Devlin, Anne Marie, Katie Ní Loingsigh, T. J. Ó Ceallaigh, and Aisling O'Donnell. "Introduction." TEANGA, the Journal of the Irish Association for Applied Linguistics 31 (November 15, 2024): i—vii. http://dx.doi.org/10.35903/teanga.v31i.9080.

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Is mór an onóir é don Fhoireann Eagarthóireachta nua an 31ú heagrán den iris TEANGA a chur i láthair agus clochmhíle thábhachtach á chéiliúradh againn: comóradh cúig bliana daichead na hirise. Bliain bhisiúil agus thairbheach ab ea í dúinn mar eagarthóirí, agus tá ríméad orainn i ngeall ar an líon mór páipéar ar ardchaighdeán a fuarthas i nGaeilge agus i mBéarla. Léiriú ar dhíogras agus ar dhúthracht iar-eagarthoirí na hirise is ea rannpháirtíocht láidir an phobail léinn. Ba dhíol béime acu go ndéanfaí an iontaofacht agus an tsoiléireacht a chur chun cinn, ar dlúthchodanna den iris iad. Ba mha

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Wescott, Roger W. "Eric De Grolier (ed.), Glossogenetics: The origin and evolution of language. Chur, Paris, and New York: Harwood Academic, 1983. Pp. xi + 546." Language in Society 14, no. 1 (1985): 127–30. http://dx.doi.org/10.1017/s0047404500011040.

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