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1

Perederiy, Marina. "CONTROL ENGINEERING: INFORMATION ASPECT." Drukerovskij vestnik, no. 4 (October 2015): 93–98. http://dx.doi.org/10.17213/2312-6469-2015-4-93-98.

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Tazapchiyan, Rafail, and Elena Shapovalova. "Speech aspect of information behavior." E3S Web of Conferences 273 (2021): 11014. http://dx.doi.org/10.1051/e3sconf/202127311014.

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This article is devoted to the analysis of information behavior based on the use of a natural language to obtain information by reading a literary text in a non-native language. One of the options for the result of such behavior is the so-called communication failures, which indicate obstacles in information retrieval. By communicative failures, the authors of the article mean a failure in the communication process, when the produced speech act does not fulfill its intended function, the addressee gets a greater degree of freedom to interpret the message sent to him, and his reaction may eithe
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Korma, V. D. "Information aspect of investigative activities." Courier of Kutafin Moscow State Law University (MSAL)), no. 2 (May 17, 2021): 27–36. http://dx.doi.org/10.17803/2311-5998.2021.78.2.027-036.

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The detailed improvement of the proof process is related to the theoretical understanding of the complex relationships between the occurrence of information about crimes, the tactics of obtaining them, and the procedural nature of judicial evidence. In recent years, forensic information and its types have increasingly become the subject of research in the field of criminal procedure, criminology and operational investigative activities. Analysis of their content shows that there are General methodological problems in defining the concept and understanding the essence of forensic information, i
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KOVALOV, K. "Information security: international legal aspect." INFORMATION AND LAW, no. 4(47) (November 29, 2023): 159–67. http://dx.doi.org/10.37750/2616-6798.2023.4(47).291624.

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The article highlights the international legal aspects of information security. The results of the analysis of international legal norms in the field of information security, as well as foreign experience in this field, are presented. The importance of the experience of certain foreign countries in the field of information security for Ukraine is emphasized. Given the global nature of communication networks, it is concluded that information security should be ensured only through effective international cooperation between states. During the research, priorities and issues related to informati
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Mar, Aye Aye, Kiyoaki Shirai, and Natthawut Kertkeidkachorn. "Weakly Supervised Learning Approach for Implicit Aspect Extraction." Information 14, no. 11 (2023): 612. http://dx.doi.org/10.3390/info14110612.

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Aspect-based sentiment analysis (ABSA) is a process to extract an aspect of a product from a customer review and identify its polarity. Most previous studies of ABSA focused on explicit aspects, but implicit aspects have not yet been the subject of much attention. This paper proposes a novel weakly supervised method for implicit aspect extraction, which is a task to classify a sentence into a pre-defined implicit aspect category. A dataset labeled with implicit aspects is automatically constructed from unlabeled sentences as follows. First, explicit sentences are obtained by extracting explici
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Kusaini, Ghofarudin. "System Quality Development and Analysis Seminar Management Information Web-Based in Department of Education Electronic Engineering and Information." Jurnal Manajemen Informatika Medicom (JMI) 10, no. 2 (2022): 7–13. http://dx.doi.org/10.35335/jmi.v10i2.2.

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This study aims to: 1) develop a web-based seminar management information system. 2) determine the quality level of the web-based seminar management information system developed. The research method used in this study is Research and Development (R&D) with a waterfall development model that refers to the rules of software engineering Pressman (2010). The stages that are passed are communication (communication), planning (planning), modeling (modeling), construction (construction), and distribution (deployment). Software quality analysis is carried out by adopting the ISO 25010 standard, na
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Huang, Bo, Ruyan Guo, Yimin Zhu, et al. "Aspect-level sentiment analysis with aspect-specific context position information." Knowledge-Based Systems 243 (May 2022): 108473. http://dx.doi.org/10.1016/j.knosys.2022.108473.

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8

E. N., Uspenskiy, Norkina A. N., Myseva E. R., and Chicherov K. A. "Economic Aspects of Information Security." KnE Social Sciences 3, no. 2 (2018): 170. http://dx.doi.org/10.18502/kss.v3i2.1539.

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In this article economic aspects of information security are analyzed, the key issues of information security in economy and further measures for its facilitation are specified. Keywords: information security, economic aspect, information, security.
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9

Zhao, Chao, and Snigdha Chaturvedi. "Weakly-Supervised Opinion Summarization by Leveraging External Information." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 05 (2020): 9644–51. http://dx.doi.org/10.1609/aaai.v34i05.6512.

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Opinion summarization from online product reviews is a challenging task, which involves identifying opinions related to various aspects of the product being reviewed. While previous works require additional human effort to identify relevant aspects, we instead apply domain knowledge from external sources to automatically achieve the same goal. This work proposes AspMem, a generative method that contains an array of memory cells to store aspect-related knowledge. This explicit memory can help obtain a better opinion representation and infer the aspect information more precisely. We evaluate thi
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10

Kozyakin, V. S., and N. A. Kuznetsov. "Feasibility of numerical modelling: Information aspect." Automation and Remote Control 68, no. 12 (2007): 2228–70. http://dx.doi.org/10.1134/s0005117907120107.

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11

Afzaal, Muhammad, Muhammad Usman, and Alvis Fong. "Predictive aspect-based sentiment classification of online tourist reviews." Journal of Information Science 45, no. 3 (2018): 341–63. http://dx.doi.org/10.1177/0165551518789872.

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With the increase of online tourists reviews, discovering sentimental idea regarding a tourist place through the posted reviews is becoming a challenging task. The presence of various aspects discussed in user reviews makes it even harder to accurately extract and classify the sentiments. Aspect-based sentiment analysis aims to extract and classify user’s positive or negative orientation towards each aspect. Although several aspect-based sentiment classification methods have been proposed in the past, limited work has been targeted towards the automatic extraction of implicit, infrequent and c
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12

Shao, Dangguo, Qing An, Kun Huang, et al. "Aspect-level sentiment analysis for based on joint aspect and position hierarchy attention mechanism network." Journal of Intelligent & Fuzzy Systems 42, no. 3 (2022): 2207–18. http://dx.doi.org/10.3233/jifs-211515.

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The purpose of aspect-level sentiment analysis is to identify the contextual sentence expressions given by sentiment for some aspects. For previous works, many scholars have proved the importance of the interaction between aspects and contexts. However, most existing methods ignore or do not specifically capture the position information of the aspect targets in the sentence. Thus, we propose an aspect-level sentiment analysis based on joint aspect and position hierarchy attention mechanism network. At the same time, the model adopts a joint approach to make the model of the aspect features and
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13

Zhang, Renxian, Wenjie Li, and Dehong Gao. "Generating Coherent Summaries with Textual Aspects." Proceedings of the AAAI Conference on Artificial Intelligence 26, no. 1 (2021): 1727–33. http://dx.doi.org/10.1609/aaai.v26i1.8345.

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Initiated by TAC 2010, aspect-guided summaries not only address specific user need, but also ameliorate content-level coherence by using aspect information. This paper presents a full-fledged system composed of three modules: finding sentence-level textual aspects, modeling aspect-based coherence with an HMM model, and selecting and ordering sentences with aspect information to generate coherent summaries. The evaluation results on the TAC 2011 datasets show the superiority of aspect-guided summaries in terms of both information coverage and textual coherence.
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Aheienko, T. M. "Distribution and storage of book information: information and legal aspect." Legal Novels 2, no. 13 (2021): 27–36. http://dx.doi.org/10.32847/ln.2021.13.2.04.

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15

Miao, Yuqing, Ronghai Luo, Lin Zhu, et al. "Contextual Graph Attention Network for Aspect-Level Sentiment Classification." Mathematics 10, no. 14 (2022): 2473. http://dx.doi.org/10.3390/math10142473.

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Aspect-level sentiment classification aims to predict the sentiment polarities towards the target aspects given in sentences. To address the issues of insufficient semantic information extraction and high computational complexity of attention mechanisms in existing aspect-level sentiment classification models based on deep learning, a contextual graph attention network (CGAT) is proposed. The proposed model adopts two graph attention networks to aggregate syntactic structure information into target aspects and employs a contextual attention network to extract semantic information in sentence-a
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Malaperdas, George D., and Vayia V. Panagiotidis. "The aspects of Aspect: Understanding land exposure and its part in geographic information systems analysis." Energy & Environment 29, no. 6 (2018): 1022–37. http://dx.doi.org/10.1177/0958305x18766322.

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One of the hardest terms for students new to geographic information systems to understand is the meaning and application of Aspect. When taking one’s first steps in spatial analysis using data in the form of rasters, the first three things new users are called to learn and use are exporting a digital elevation model, the Slope (land incline) and finally the Aspect (orientation of a slope). While the first two are quite straightforward and easily comprehended even from newcomers to spatial analysis in geographic information systems, Aspect continues throughout the learning process to be difficu
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17

Pilatova, Valentina Nikolaevna. "MEANINGLESS WORDS, OR INFORMATION NOISE: PERCEPTION ASPECT." Philological Sciences. Issues of Theory and Practice, no. 7-1 (July 2018): 164–68. http://dx.doi.org/10.30853/filnauki.2018-7-1.36.

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18

Petrovich, Valentina, and Iryna Charikova. "COMMUNICATION IN THE INFORMATION SOCIETY: RELIGIOUS ASPECT." Knowledge, Education, Law, Management, no. 3 (2022): 94–98. http://dx.doi.org/10.51647/kelm.2022.3.16.

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19

Łapiński, Jacek. "Ontological and Meta–Physical Aspect of Information." Kwartalnik Naukowy Fides et Ratio 48, no. 4 (2021): 74–90. http://dx.doi.org/10.34766/fetr.v48i4.877.

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The publication contains analyzes on the understanding of information in terms of quantitative and qualitative, objective and subjective aspects, the way it works and the role played in the process of morphogenesis.
 The aim of the publication is an attempt to define the ontological status of information and to indicate possible sources of its origin. The qualitative, not quantitative, aspect of the information is important. Determining what, in its qualitative essence, information is, what a being is, will allow to create the necessary premises to try to confirm or deny the thesis that i
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20

Gryn, Victoriіa. "Accounting strategic information space formation: communication aspect." Socio-Economic Research Bulletin, no. 2(73) (June 28, 2020): 73–82. http://dx.doi.org/10.33987/vsed.2(73).2020.73-82.

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21

Kapralyuk, O., and H. Shchyhol. "Information supply for agriculture USSR: historical aspect." History of Science and Biographical Studies, no. 1 (March 24, 2021): 249–65. http://dx.doi.org/10.31073/istnauka202101-15.

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22

Dziundziuk, Viacheslav B., Yevgen V. Kotukh, Olena M. Krutii, Vitalii P. Solovykh, and Oleksandr A. Kotukov. "State Information Security Policy (Comparative Legal Aspect)." Cuestiones Políticas 39, no. 71 (2021): 166–86. http://dx.doi.org/10.46398/cuestpol.3971.08.

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The rapid development of information technology and the problem of its rapid implementation in all spheres of public life, the growing importance of information in management decisions to be made by public authorities, a new format of media — these and other factors urge the problem of developing and implementing quality state information security policy. The aim of the article was to conduct a comparative analysis of the latest practices of improving public information security policies in the European Union, as well as European countries such as Poland, Germany, Great Britain, and Ukraine. T
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23

Abdullah-Al-Shafi, Md, and Ali Newaz. "Cloud Computing: An Aspect of Information System." International Journal of Applied Information Systems 10, no. 4 (2016): 46–50. http://dx.doi.org/10.5120/ijais2016451487.

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24

Zawiła-Niedźwiecki, Janusz, and Maciej Byczkowski. "Information Security Aspect of Operational Risk Management." Foundations of Management 1, no. 2 (2009): 45–60. http://dx.doi.org/10.2478/v10238-012-0010-2.

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Information Security Aspect of Operational Risk ManagementImproving organization means on the one hand searching for adequate product (service) matched to the market, on the other hand shaping the ability to react on risks caused by that activity. The second should consist of identifying and estimating types of risk, and consequently creating solutions securing from possible forms of it's realization (disturbances), following rules of rational choice of security measures as seen in their relation to costs and effectiveness. Activities of creating the security measures should be organized as co
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25

Dodd, G. H. "A ‘SUNny’ aspect of an information centre." Aslib Proceedings 42, no. 10 (1990): 251–56. http://dx.doi.org/10.1108/eb051183.

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26

Salsalina Lingga, Ita, Winwin Yadiati, Azhar Susanto, and Nunuy Nur Afiah. "Behavioral Aspect of Accounting Information System Quality." Journal of Engineering and Applied Sciences 14, no. 1 (2019): 93–105. http://dx.doi.org/10.36478/jeasci.2019.93.105.

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27

Sullivan, Kevin, William G. Griswold, Yuanyuan Song, et al. "Information hiding interfaces for aspect-oriented design." ACM SIGSOFT Software Engineering Notes 30, no. 5 (2005): 166–75. http://dx.doi.org/10.1145/1095430.1081734.

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28

POCHYNOK, Nataliia, and Anton LUPIICHUK. "BUILDING INFORMATION MODELING: FINANCIAL AND ACCOUNTING ASPECT." WORLD OF FINANCE, no. 2(79) (2024): 99–115. http://dx.doi.org/10.35774/sf2024.02.099.

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Introduction. The implementation of building information modeling (BIM) technology is a promising direction in the development of the construction enterprise management system. It is advisable to use BIM technology also for economic purposes, which requires the study of financial and accounting features of the construction process in the conditions of digitization of management. The purpose of the article is to research the financial and accounting aspects of the use of building information modeling technology to optimize the management of construction enterprises. Results. The possibility of
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Semenov, B. R. "International Aspect of PRC Information Security Policy." EURASIAN INTEGRATION: economics, law, politics 18, no. 2 (2024): 148–58. http://dx.doi.org/10.22394/2073-2929-2024-02-148-158.

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This article examines the international aspect of China’s information security policy. Due to the fact that the information sphere is becoming increasingly important in relations between states, the appeal to the policy of one of the leading international actors — the People’s Republic of China — is in demand and relevant. China’s experience in ensuring information security may be in demand in other countries, including the Russian Federation.Aim. The purpose of the article is to characterize the international aspect of China’s information security policy and to reveal the specifics of China’s
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Hou, Yunfeng, Ning Yang, Yi Wu, and Philip S. Yu. "Explainable recommendation with fusion of aspect information." World Wide Web 22, no. 1 (2018): 221–40. http://dx.doi.org/10.1007/s11280-018-0558-1.

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Papiashvili, Tatiana, Giorgi Ghlonti, and Khatia Koberidze. "Modeling Information Support for Startup: Theoretical Aspect." European Journal of Business and Management Research 7, no. 2 (2022): 176–85. http://dx.doi.org/10.24018/ejbmr.2022.7.2.1326.

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The business provides many alternatives, and an investor-entrepreneur has always to make a decision on how best to use his fund. The first challenge for a potential investor is that the business environment is constantly changing, becoming more complex. The process of data acquisition and subsequent information generation is continuously cyclical, time and cost consuming. The second challenge is analytics. The typical small business owner makes decisions by trial-and-error. In today's data-driven AI-first environment to make frequent and quick strategic, tactical, and operational decisions, th
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Bagheri, Ayoub. "Integrating word status for joint detection of sentiment and aspect in reviews." Journal of Information Science 45, no. 6 (2018): 736–55. http://dx.doi.org/10.1177/0165551518811458.

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A crucial task in sentiment analysis is aspect detection: the step of selecting the aspects on which opinions are expressed. This step anticipates the step of determining whether the opinions on aspects are positive or negative. This article proposes a novel probabilistic generative topic model for aspect-based sentiment analysis which is able to discover the latent structure of a large collection of review documents. The proposed joint sentiment-aspect detection model (SAM) is a generative topic model that incorporates the structure of review sentences for detecting aspects and sentiments sim
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Wei, Shixin, Bing Han, Jiayuan Shen, Jiaxin Wan, Yugang Feng, and Qianyue Xue. "Multi-Aspect Interpolation Method for SAR Complex Images of Typical Aircraft Target Using Multi-Aspect Scattering Information Complex Generative Adversarial Network." Remote Sensing 17, no. 7 (2025): 1143. https://doi.org/10.3390/rs17071143.

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Due to the huge differences in Synthetic Aperture Radar (SAR) image features of the same target under different observing aspects, the demand for constructing multi-aspect SAR datasets of various typical targets is becoming increasingly urgent with the expansion of SAR technology application fields. Meanwhile, multi-aspect interpolation techniques for constructing multi-aspect SAR datasets, based on electromagnetic scattering features and on Generative Adversarial Networks (GANs), have some shortcomings that are difficult to address. The former method provide descriptions of the target scatter
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34

Lan, Zhouxin, Qing He, and Liu Yang. "Dual-Channel Interactive Graph Convolutional Networks for Aspect-Level Sentiment Analysis." Mathematics 10, no. 18 (2022): 3317. http://dx.doi.org/10.3390/math10183317.

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Aspect-level sentiment analysis aims to identify the sentiment polarity of one or more aspect terms in a sentence. At present, many researchers have applied dependency trees and graph neural networks (GNNs) to aspect-level sentiment analysis and achieved promising results. However, when a sentence contains multiple aspects, most methods model each aspect independently, ignoring the issue of sentiment connection between aspects. To address this problem, this paper proposes a dual-channel interactive graph convolutional network (DC-GCN) model for aspect-level sentiment analysis. The model consid
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Barshatska, G., and V. Shcherbina. "THE VALUABLE ASPECT OF THE FORMATION OF UKRAINIAN STUDENTS IN THE INFORMATION SPACE." Bulletin of Mariupol State University Series Philosophy culture studies sociology 13, no. 26 (2023): 51–56. http://dx.doi.org/10.34079/2226-2830-2023-13-26-51-56.

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The article is devoted to the analysis of the mechanisms of formation of Ukrainian student values in the information space. A great role in the well-being of society, of each of its members, is also played by the degree of satisfaction of the need for information. Since the general social system is built under the influence of the information system, in which the interaction between subsystems and elements takes place in the form of energy-related and informational processes, there is a need for information provision of all spheres of social activity. Let us emphasize that the social activity
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Papakitsa, Elena K. "Features of information extraction and approaches to understanding information: psychological aspect." Вестник Пермского университета. Философия. Психология. Социология, no. 2 (2020): 238–46. http://dx.doi.org/10.17072/2078-7898/2020-2-238-246.

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The article presents the results of a theoretical analysis of the main scientific approaches to the study of the concepts of «information» and «understanding» in psychology and related disciplines. It is shown that the question of the nature of information, the process of extracting it from data and understanding it by the subject remains relevant today. It is suggested that information be understood as any messages regardless of the form of their presentation, but accessible to human perception. In turn, a message is understood as a sequence of signals of various nature presented in certain f
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37

Naumov, Viktor. "Information security in identification in the digital age: information law aspect." Gosudarstvo i pravo, no. 9 (2019): 117. http://dx.doi.org/10.31857/s013207690006736-1.

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38

Lavina, Tatiana, and Larisa Ilina. "INFORMATION TECHNOLOGY TRAINING FOR FUTURE INFORMATION PROTECTION PROFESSIONALS: A CONTENT ASPECT." Cherepovets State University Bulletin 1, no. 94 (2020): 173–84. http://dx.doi.org/10.23859/1994-0637-2020-1-94-15.

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39

Rana, Toqir A., and Yu-N. Cheah. "Sequential patterns rule-based approach for opinion target extraction from customer reviews." Journal of Information Science 45, no. 5 (2018): 643–55. http://dx.doi.org/10.1177/0165551518808195.

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Aspect extraction or opinion target extraction is the key task of sentiment analysis, which aims to identify targets of people’s sentiments. This is the most important task of aspect-based sentiment analysis as without the aspects, there is no much use of extracted opinions. Recent approaches have shown the significance of dependency-based rules for the given task. These rules are heavily dependent on the dependency parser and generated with the help of grammatical rules. In this article, we are proposing to learn from user’s behaviour to identify the relation among aspects and opinions. The u
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40

Imran, Al, Haripuddin Haripuddin, Sanatang Sanatang, and Muhammad Hasan Z. "Development of Service Mail Management Information System as a Supporting System for Calculating Recapitulation of Remuneration Performance Points at Universitas Negeri Makassar." Journal of Applied Engineering and Technological Science (JAETS) 4, no. 1 (2022): 415–28. http://dx.doi.org/10.37385/jaets.v4i1.1331.

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This research is research and development (R&D) which aims to produce an official letter management information system, a supporting system for calculating remuneration performance point recapitulation at Makassar State University. Application testing uses ISO/IEC 25010. This study uses the Waterfall development model consisting of five work steps, namely analyzing needs, conducting design, coding, testing and maintenance. The developed system is validated by two system experts, and two content or material experts. The data were collected using questionnaires, interviews and documentation
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Peng, Qingxi, Lan You, Hao Feng, et al. "Jointly Modeling Aspect Information and Ratings for Review Rating Prediction." Electronics 11, no. 21 (2022): 3532. http://dx.doi.org/10.3390/electronics11213532.

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Although matrix model-based approaches to collaborative filtering (CF), such as latent factor models, achieve good accuracy in review rating prediction, they still face data sparsity problems. Many recent studies have exploited review text information to improve the performance of predictions. The review content that they use, however, is usually on the coarse-grained text level or sentence level. In this paper, we propose a joint model that incorporates review text information with matrix factorization for review rating prediction. First, we adopt an aspect extraction method and propose a sim
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42

Briukhovetskyi, Mykola. "The place and role of knowledge in informational society." Актуальні проблеми духовності, no. 15 (June 30, 2016): 128–47. http://dx.doi.org/10.31812/apd.v0i15.1906.

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Тhe article considers current scientific ideas of knowledge as a factor of development of information society. The special focus is on theoretical views about the place and role of knowledge in the information society. Review is carried based on the existence of the modern theories of the information society three aspects — aspects of the cost of the production aspect and anthropological aspect. From the above analysis it appears that the greatest development has received production aspect that sees knowledge factor in the development of society, which is implemented as a structural element of
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43

Zhang, Chengzhi, Tiantian Tong, and Yi Bu. "Examining differences among book reviews from various online platforms." Online Information Review 43, no. 7 (2019): 1169–87. http://dx.doi.org/10.1108/oir-01-2019-0037.

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Purpose Websites have their own features in aspect preference (e.g. the relative importance platforms place on product aspects in product evaluation). The purpose of this paper is to capture characteristics of different book reviews on aspect preferences by opinion mining techniques. Design/methodology/approach The authors employ two indicators for identifying aspect preferences, and propose a method for quantifying overall differences of reviews on aspect preferences through three dimensions: aspect awareness, aspect satisfaction and comprehensive value. Findings The results show that book re
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44

Vaira, Žilvinas, and Albertas Čaplinskas. "Software Engineering Paradigm Independent Design Problems, GoF 23 Design Patterns, and Aspect Design." Informatica 22, no. 2 (2011): 289–317. http://dx.doi.org/10.15388/informatica.2011.328.

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Dewa, Rama, and Akbar Habibullah. "Semantic Representation for Health Data with Support to Spatial and Temporal Information." International Journal of Computer Science Issues 15, no. 4 (2018): 22–28. https://doi.org/10.5281/zenodo.1346029.

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Health data is one of information that has a close relationship with the spatial and temporal aspects. Spatial and temporal information has now become a more important component in health data analysis. This is based on the fact that there are an increasing aspect of geographical position and time constraints in public health data. Therefore, health data analysis can produce more meaningful information if the spatial and temporal information are well represented. The present model of spatial temporal representation generally offers model that satisfies only one form of representation, either s
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Zhao, Hongyan, Cheng Cui, and Changxing Wu. "Hybrid Graph Neural Network-Based Aspect-Level Sentiment Classification." Electronics 13, no. 16 (2024): 3263. http://dx.doi.org/10.3390/electronics13163263.

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Aspect-level sentiment classification has received more and more attention from both academia and industry due to its ability to provide more fine-grained sentiment information. Recent studies have demonstrated that models incorporating dependency syntax information can more effectively capture the aspect-specific context, leading to improved performance. However, existing studies have two shortcomings: (1) they only utilize dependency relations between words, neglecting the types of these dependencies, and (2) they often predict the sentiment polarity of each aspect independently, disregardin
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Noh, Yunseok, Seyoung Park, and Seong-Bae Park. "Aspect-Based Sentiment Analysis Using Aspect Map." Applied Sciences 9, no. 16 (2019): 3239. http://dx.doi.org/10.3390/app9163239.

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Aspect-based sentiment analysis (ABSA) is the task of classifying the sentiment of a specific aspect in a text. Because a single text usually has multiple aspects which are expressed independently, ABSA is a crucial task for in-depth opinion mining. A key point of solving ABSA is to align sentiment expressions with their proper target aspect in a text. Thus, many recent neural models have applied attention mechanisms to learning the alignment. However, it is problematic to depend solely on attention mechanisms to achieve this, because most sentiment expressions such as “nice” and “bad” are too
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Supriya, Kinariwala, Chaudhary Seema, and M. Gaikwad Chitra. "ASPECT IDENTIFICATION USING TOPIC MODELING FOR DRUG REVIEWS." Journal of the Maharaja Sayajirao University of Baroda 59, no. 1(I) (2025): 367–82. https://doi.org/10.5281/zenodo.15237820.

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AbstractNow a days in the world of internet, many studies have observed that patients are getting importantand supporting information on persistent diseases and related drugs from resources such as onlinereviews, web blogs, and discussion forums. Mining of information from such bulk of text is achallenging task but this information is very useful. Such information can be processed using the modelcalled Aspect Identification using Topic Modeling (AITM) on Drug reviews which is the proposedsystem. This model recognizes the aspects or topics associated with the class label of the mixture ofdata.
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Huang, Zexia, Yihong Zhu, Jinsong Hu, and Xiaoliang Chen. "SI-GCN: Modeling Specific-Aspect and Inter-Aspect Graph Convolutional Networks for Aspect-Level Sentiment Analysis." Symmetry 16, no. 12 (2024): 1687. https://doi.org/10.3390/sym16121687.

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Aspect-level sentiment analysis (ALSA) aims to identify the sentiment polarity associated with specific aspects in textual data. However, existing methods utilizing graph convolutional networks (GCNs) face significant challenges, particularly in analyzing sentiments for multi-word aspects and capturing sentiment relationships across multiple aspects in complex sentences. To address these issues, we introduce the Specific-aspect and Inter-aspect Graph Convolutional Network (SI-GCN), which integrates contextual information, syntactic dependencies, and commonsense knowledge to provide a robust so
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Wirapraja Mahatama, I. Kadek Badradnyana, Nyoman Martha Jaya, and I. Gusti Agung Adnyana Putera. "EVALUASI PROGRAM PEMBANGUNAN INFRASTRUKTUR DENGAN DANA DESA DI KABUPATEN KARANGASEM." JURNAL SPEKTRAN 9, no. 2 (2021): 115. http://dx.doi.org/10.24843/spektran.2021.v09.i02.p03.

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The current government focuses on the development of the village itself by creating a dana desa program. The research objectives are to evaluate the process of village development with the dana desa program in Karangasem Regency, to analyze the value of legal aspects, aspects of human resources, social aspects, and aspects of the use of technology & information in influencing the success of the dana desa program, and to analyze the solutions to the identified obstacles. This study uses a qualitative descriptive method by looking at the results of open questionnaires, closed questionnaires,
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