Academic literature on the topic 'Linguistic Inquiry and Word Count LIWC'

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Journal articles on the topic "Linguistic Inquiry and Word Count LIWC"

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Boot, Peter, Hanna Zijlstra, and Rinie Geenen. "The Dutch translation of the Linguistic Inquiry and Word Count (LIWC) 2007 dictionary." Dutch Journal of Applied Linguistics 6, no. 1 (2017): 65–76. http://dx.doi.org/10.1075/dujal.6.1.04boo.

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Abstract The words we use in everyday language reveal our thoughts, feelings, personality, and motivations. Linguistic Inquiry and Word Count (LIWC) is a software program to analyse text by counting words in 66 psychologically meaningful categories that are catalogued in a dictionary of words. This article presents the Dutch translation of the dictionary that is part of the LIWC 2007 version. It describes and explains the LIWC instrument and it compares the Dutch and English dictionaries on a corpus of parallel texts. The Dutch and English dictionaries were shown to give similar results in bot
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McDonnell, Michelle, Jason Edward Owen, and Erin O'Carroll Bantum. "Identification of Emotional Expression With Cancer Survivors: Validation of Linguistic Inquiry and Word Count." JMIR Formative Research 4, no. 10 (2020): e18246. http://dx.doi.org/10.2196/18246.

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Background Given the high volume of text-based communication such as email, Facebook, Twitter, and additional web-based and mobile apps, there are unique opportunities to use text to better understand underlying psychological constructs such as emotion. Emotion recognition in text is critical to commercial enterprises (eg, understanding the valence of customer reviews) and to current and emerging clinical applications (eg, as markers of clinical progress and risk of suicide), and the Linguistic Inquiry and Word Count (LIWC) is a commonly used program. Objective Given the wide use of this progr
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이창환, 임종섭, 이윤형, and 김경일. "Psychological Research using Linguistic Inquiry and Word Count (LIWC) and Korean Linguistic Inquiry and Word Count." Journal of Cognitive Science 16, no. 2 (2015): 133–50. http://dx.doi.org/10.17791/jcs.2015.16.2.133.

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Yanovets, Angelika, and Oksana Smal. "POLITICAL DISCOURSE CONTENT ANALYSIS: A CRITICAL OVERVIEW OF A COMPUTERIZED TEXT ANALYSIS PROGRAM LINGUISTIC INQUIRY AND WORD COUNT (LIWC)." Naukovì zapiski Nacìonalʹnogo unìversitetu «Ostrozʹka akademìâ». Serìâ «Fìlologìâ» 1, no. 9(77) (2020): 139–42. http://dx.doi.org/10.25264/2519-2558-2020-9(77)-139-142.

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The article examines and analyzes the linguistic and psychological features of political discourse using a computer-based Linguistic Inquiry and Word Count (LIWC) content analysis program to explore the relationship between political discourse and the personality of politicians. As for political discourse, it is perhaps the communicator, the linguistic personality, who plays the most important role in the communication. The linguistic personality of a politician is of particular interest in political discourse content-analysis, since it has the greatest influence on the public consciousness vi
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Засєкін, Сергій, Наталія Безуглова, Анастасія Гапон, Владислав Матюшенко, Ольга Подольська та Дар'я Зубчук. "Психолінгвальні аспекти перекладу словника LIWC". East European Journal of Psycholinguistics 5, № 1 (2018): 111–18. http://dx.doi.org/10.29038/eejpl.2018.5.1.zas.

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Останні досягнення в галузі комп’ютерних лінгвістичних та психологічних інструментів дослідження актуалізують не лише потребу поширення сфер їхнього застосування, а й застосування з носіями різних мов. Тому актуальним видається вивчення особливостей перекладу на основі з’ясування культурних відмінностей. Дослідження сьогодення в галузі перекладознавства визнають критичну роль, що її відіграють перекладацькі трансформації як психолінгвальні логічні операції, які тривають у голові перекладача. Ця розвідка вивчає шляхи адекватного відтворення українською мовою вибраних слів зі словника програми L
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Graesser, Arthur C., Nia Dowell, and Christian Moldovan. "A computer’s understanding of literature." Future of Scientific Studies in Literature 1, no. 1 (2011): 24–33. http://dx.doi.org/10.1075/ssol.1.1.03gra.

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Everyone agrees that a computer could never understand and appreciate literature, but the fields of computational linguistics and discourse processing have made important advances in automatic detection of language and discourse characteristics. We have analyzed literary texts and political speeches with two computer tools, namely Coh-Metrix and Linguistic Inquiry Word Count (LIWC). Coh-Metrix provides hundreds of measures that funnel into 5 principal components: word concreteness, syntactic simplicity, referential cohesion, deep cohesion, and narrativity. LIWC classifies words on 80 categorie
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Lee, Chang H., Jongmin Park, and Young Seok Seo. "An Analysis of Linguistic Styles by Inferred Age in TV Dramas." Psychological Reports 99, no. 2 (2006): 351–56. http://dx.doi.org/10.2466/pr0.99.2.351-356.

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A language analysis program, Linguistic Inquiry and Word Count (LIWC), was successful in identifying various psychological variables. This study investigated the relationship between spoken language and age inferred from drama scripts of 162 characters, analyzed by the Korean-LIWC across 4 age categories (10–19, 20–39, 40–59, and 60–79 years). Analysis indicated that younger characters use fewer phrases, morphemes, nouns, auxiliary words, and adverbs than older characters, suggesting less cognitive development of younger characters. In addition, younger characters used less positive words for
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Fernández-Cabana, M., A. García-Caballero, M. T. Alves-Pérez, M. J. García-García, and R. Mateos. "Suicidal Traits in Marilyn Monroe’s Fragments." Crisis 34, no. 2 (2013): 124–30. http://dx.doi.org/10.1027/0227-5910/a000183.

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Background: Linguistic inquiry and word count (LIWC), a computerized method for text analysis, is often used to examine suicide writings in order to characterize the quantitative linguistic features of suicidal texts. Aims: To analyze texts compiled in Marilyn Monroe’s Fragments using LIWC, in order to explore the use of different linguistic categories in her narrative over the years. Method: Selected texts were grouped into four periods of similar word count and processed with LIWC. Spearman’s rank correlation was used to assess changes in language use across the documents over time. The Krus
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Elrod, Krisy, and Cass Dykeman. "Examining Spanish-Language Pro-Non-Suicidal Self-Injury (Pro-NSSI) Posts on Tumblr: A Linguistic Inquiry and Word Count Analysis." Adolescents 5, no. 2 (2025): 12. https://doi.org/10.3390/adolescents5020012.

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This study employed Linguistic Inquiry and Word Count (LIWC-22) software, a language analysis tool, to examine Spanish-language pro-NSSI Tumblr posts. Pro-NSSI, or “pro non suicidal self-injury”, refers to online content that normalizes or supports self-harming behaviors. Given the strong associations between NSSI and conditions such as post-traumatic stress disorder (PTSD), anxiety, and depression, understanding how these behaviors are discussed online can help improve interventions. A year’s worth of public posts were collected, focusing on captions and hashtags that included NSSI-related te
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Holtzman, Nicholas S., Allison M. Tackman, Angela L. Carey, et al. "Linguistic Markers of Grandiose Narcissism: A LIWC Analysis of 15 Samples." Journal of Language and Social Psychology 38, no. 5-6 (2019): 773–86. http://dx.doi.org/10.1177/0261927x19871084.

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Narcissism is unrelated to using first-person singular pronouns. Whether narcissism is linked to other language use remains unclear. We aimed to identify linguistic markers of narcissism. We applied the Linguistic Inquiry and Word Count to texts ( k = 15; N = 4,941). The strongest positive correlates were using words related to sports, second-person pronouns, and swear words. The strongest negative correlates were using anxiety/fear words, tentative words, and words related to sensory/perceptual processes. Effects were small (each | r| < .10).
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Dissertations / Theses on the topic "Linguistic Inquiry and Word Count LIWC"

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Miller, Ashley M. "Analyzing Songs Used for Lyric Analysis With Mental Health Consumers Using Linguistic Inquiry and Word Count (LIWC) Software." UKnowledge, 2017. http://uknowledge.uky.edu/music_etds/88.

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Lyric analysis is one of the most commonly used music therapy interventions with the mental health population, yet there is a gap in the research literature regarding song selection. The primary purpose of this study was to determine distinguishing linguistic characteristics of song lyrics most commonly used for lyric analysis with mental health consumers, as measured by LIWC2015 software. A secondary purpose was to provide an updated song list resource for music therapists and music therapy students working with the mental health population. The researcher emailed a survey to 6,757 board-cert
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Yale, Robert Nathan. "INSTANT MESSAGING COMMUNICATION: A QUANTITATIVE LINGUISTIC ANALYSIS." Oxford, Ohio : Miami University, 2007. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=miami1183663224.

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Córdoba, Cortés María Neus. "Análisis Lingüístico Comparativo de Narrativas Autobiográficas entre Pacientes con Depresión y Trastorno Obsesivo Compulsivo." Doctoral thesis, Universitat Ramon Llull, 2020. http://hdl.handle.net/10803/668271.

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Aquesta recerca té com a finalitat provar, de forma fefaent, l’existència de marcadors lingüístics distintius en narratives autobiogràfiques de pacients amb Depressió i Trastorn obsessiu compulsiu (Toc) després de comparar-les amb un grup control. És tracta doncs d’esbrinar els patrons idiosincràtics òptims que complementin els models diagnòstics i la tasca psicoterapèutica. En primer lloc, es realitza un anàlisi sobre la freqüència d’ús de termes amb el programa Linguistic Inquiry and Word Count LIWC (Pennebaker, 2001; Pennebaker, Chung i Ireland, 2007) i s’enregistren aquells relatius a les
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Koh, Kok Chuan. "Modeling Alcohol Consumption Using Blog Data." Thesis, University of North Texas, 2013. https://digital.library.unt.edu/ark:/67531/metadc271843/.

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How do the content and writing style of people who drink alcohol beverages stand out from non-drinkers? How much information can we learn about a person's alcohol consumption behavior by reading text that they have authored? This thesis attempts to extend the methods deployed in authorship attribution and authorship profiling research into the domain of automatically identifying the human action of drinking alcohol beverages. I examine how a psycholinguistics dictionary (the Linguistics Inquiry and Word Count lexicon, developed by James Pennebaker), together with Kenneth Burke's concept of
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Books on the topic "Linguistic Inquiry and Word Count LIWC"

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Deniva, Denitsa. Analyzing Social-Media Textual Data Using Linguistic Inquiry and Word Count. SAGE Publications Ltd, 2025. https://doi.org/10.4135/9781036209360.

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Pennebaker. Linguistic Inquiry and Word Count. Taylor & Francis Group, 2001.

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Francis, M. E., and James W. Pennebaker. Linguistic Inquiry and Word Count. Lawrence Erlbaum Assoc Inc, 1999.

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Francis, Martha E., Roger J. Booth, and James W. Pennebaker. Linguistic Inquiry and Word Count (Mac format). Lawrence Erlbaum Associates, Inc., 2001.

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Francis, Martha E., Roger J. Booth, and James W. Pennebaker. Linguistic Inquiry and Word Count (PC format). 2nd ed. Lawrence Erlbaum Associates, Inc., 2001.

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Book chapters on the topic "Linguistic Inquiry and Word Count LIWC"

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Buckland, Warren. "Comparing Mankiewicz and Welles to the Citizen Kane Screenplay (2): Cluster Analysis, Type/Token Ratios, Sentence Length, and Linguistic Inquiry and Word Count (LIWC)." In Who Wrote Citizen Kane? Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-40224-1_7.

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Salah, Almila Akdag, Senthil Chandrasegaran, and Peter Lloyd. "Analysing storytelling in design talk using Linguistic Inquiry and Word Count." In Expanding the Frontiers of Design. Routledge, 2023. http://dx.doi.org/10.1201/b22630-7.

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Jayathunga, Dinooshi Poornima, R. M. Iranthi Shashikala Ranasinghe, and Ramashini Murugiah. "A Comparative Study of Supervised Machine Learning Techniques for Deceptive Review Identification Using Linguistic Inquiry and Word Count." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-68133-3_10.

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Chung, Cindy K., and James W. Pennebaker. "Linguistic Inquiry and Word Count (LIWC)." In Applied Natural Language Processing. IGI Global, 2012. http://dx.doi.org/10.4018/978-1-60960-741-8.ch012.

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Linguistic Inquiry and Word Count (LIWC; Pennebaker, Booth, & Francis, 2007) is a word counting software program that references a dictionary of grammatical, psychological, and content word categories. LIWC has been used to efficiently classify texts along psychological dimensions and to predict behavioral outcomes, making it a text analysis tool widely used in the social sciences. LIWC can be considered to be a tool for applied natural language processing since, beyond classification, the relative uses of various LIWC categories can reflect the underlying psychology of demographic charact
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Bell, Courtney M., Philip M. McCarthy, and Danielle S. McNamara. "Using LIWC and Coh-Metrix to Investigate Gender Differences in Linguistic Styles." In Applied Natural Language Processing. IGI Global, 2012. http://dx.doi.org/10.4018/978-1-60960-741-8.ch032.

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We use computational linguistic tools to investigate gender differences in language use within the context of marital conflict. Using the Language Inquiry and Word Count tool (LIWC), differences between genders were significant for the use of self references, but not for the use of social words and positive and negative emotion words. Using Coh-Metrix, differences were significant for the use of syntactic complexity, global argument overlap, and density of logical connectors but not for the use of word frequency, frequency of causal verbs and particles, global Latent Semantic Analysis (LSA), l
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"Analysis of Terminally Ill Patients’ Weblogs Using the Linguistic Inquiry and Word Count (LIWC) Program." In Re-Imaging Death and Dying. BRILL, 2009. http://dx.doi.org/10.1163/9781904710820_015.

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Rámila Díaz, Noemi, and Margarita Vinagre. "University Student Perceptions of Transversal Competence Development in Virtual Exchange." In Telecollaboration Applications in Foreign Language Classrooms. IGI Global, 2023. http://dx.doi.org/10.4018/978-1-6684-7080-0.ch011.

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Recent studies have shown that, despite the importance of transversal competences for life-long learning and employability, their development and assessment in education to date have been limited to only a few of those competences. The objective of this chapter is to present the findings from a project that aimed to foster participants' competence development in virtual exchange. Answers to an end of project questionnaire were analysed quantitatively using descriptive statistics and Linguistic Inquiry Word Count (LIWC) and qualitatively using Grounded theory in order to provide a rich and mult
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Novak, Alison N., Christopher Mascaro, Sean P. Goggins, and Emmanuel Koku. "How [Not] to Caffeinate a Political Group." In Advances in Human and Social Aspects of Technology. IGI Global, 2014. http://dx.doi.org/10.4018/978-1-4666-6066-3.ch025.

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The attempted assassination of Representative Gabrielle Giffords in Arizona on January 8, 2011 spurred a surge of media reflection and criticism of the Tea Party Patriots and their violent rhetoric. The Coffee Party, created in 2010 as an oppositional force to the Tea Party, spent the days following the shooting discussing the various social, political, and moral aspects of the violence on their Facebook page. This chapter is part of an ongoing investigation of language in politically oriented online forums. Here, the 24 parent posts and following Facebook conversations are studied to investig
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Tran, Xuan, Faith Grover, Kenzie Leeser, et al. "Impact of Digital Tools on the Hotel Industry in the USA." In Advances in Environmental Engineering and Green Technologies. IGI Global, 2022. http://dx.doi.org/10.4018/978-1-6684-4610-2.ch014.

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Although disruptive innovation is a shortcut to increase revenue by technology, it has been applied little in the hotel industry. The purpose of this study is to examine how disruptive innovation has been applied in hotels via adopting a digital tool of linguistic inquiry word count (LIWC) to explore guests' unconscious needs to increase hotel revenue. The study has been based on the Maslow's hierarchy and the McClelland's motivation to examine the relationships between hotel criteria and guests' unconscious needs to increase hotel revenue. The study sample includes 10918 comments from online
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Bhatnagar, Tarang. "Categorization of COVID-19 Twitter Data Based on an Aspect-Oriented Sentiment Analysis and Fuzzy Logic." In Demystifying Emerging Trends in Machine Learning. BENTHAM SCIENCE PUBLISHERS, 2025. https://doi.org/10.2174/9789815305395125020026.

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During times of disaster or epidemic, social media has emerged as a vital means of communication. It is difficult to examine the complete situational awareness via many elements and emotions to aid authorities due to the unpredictability of these calamities. Currently, systems for aspect recognition and sentiment analysis rely heavily on labelled data and require human curation of aspect categories. To analyze public opinion from a variety of angles, this study suggested a hybrid text analytical approach. Using the popular Latent Dirichlet Allocation (LDA) topic modeling, we first extracted an
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Conference papers on the topic "Linguistic Inquiry and Word Count LIWC"

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Wick-Pedro, Gabriela, Roney Lira de Sales Santos, and Oto Vale. "Linguistic and emotional dynamics in satirical vs. real news: a psycholinguistic analysis." In Simpósio Brasileiro de Tecnologia da Informação e da Linguagem Humana. Sociedade Brasileira de Computação, 2024. https://doi.org/10.5753/stil.2024.245398.

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This study compares the psycholinguistic differences between satirical and real news using data from LIWC (Linguistic Inquiry and Word Count). We found that satirical news utilizes a broader range of emotional and rhetorical resources, often exaggerating or subverting reality, while real news maintains a more factual and objective tone. This highlights the critical and humorous role of satire in social communication. Furthermore, the research advances the field of NLP by improving satire detection through a psycholinguistic lens, contributing to the development of algorithms that effectively d
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Jia, Liu, and Shen Ying. "A Case Study of Text and Discourse Based on Juku, Coh-Metrix, and Linguistic Inquiry Word Count (LIWC)." In 2015 International Conference on Social Science and Technology Education. Atlantis Press, 2015. http://dx.doi.org/10.2991/icsste-15.2015.261.

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Mertens, Attakias T., and Christine A. Toh. "It Rings a Bell! Memory’s Impact on Information Utilization by Novice Designers in the Early Design Process." In ASME 2019 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/detc2019-97699.

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Abstract Research in new product design still lacks an understanding of how the types of information used by designers can lead to more successful designs and what cognitive components are involved in the process of generating new ideas. Some theories have arisen that focus on memory usage that could have an impact in idea generation early on in the design process. As a first step to address this gap, an Information Archetypes Framework was developed in previous work to outline the different dimensions and levels of information commonly used by designers. This framework forms the basis of the
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Andrei, Amanda, Alison Dingwall, Theresa Dillon, and Jennifer Mathieu. "Developing a Tagalog Linguistic Inquiry and Word Count (LIWC) ‘Disaster’ Dictionary for Understanding Mixed Language Social Media: A Work-in-Progress Paper." In Proceedings of the 8th Workshop on Language Technology for Cultural Heritage, Social Sciences, and Humanities (LaTeCH). Association for Computational Linguistics, 2014. http://dx.doi.org/10.3115/v1/w14-0613.

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Kim, Chaewon. "Unveiling Learning Dynamics in Nursing Educational Escape Rooms: Insights from Linguistic Inquiry and Word Count (LIWC) Analysis and Epistemic Network Analysis (ENA)." In 19th International Conference of the Learning Sciences (ICLS) 2025. International Society of the Learning Sciences, 2025. https://doi.org/10.22318/icls2025.498772.

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Lloyd, Peter, Almila Akdag Salah, and Senthil Chandrasegaran. "How Designers Talk: Constructing and Analysing a Design Thinking Data Corpus." In ASME 2021 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/detc2021-71200.

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Abstract A necessary condition of understanding how designers work is understanding how designers talk. In this paper we show how new methods of linguistic data analysis are beginning to reveal insights into the general nature of design conversations. For the first time we combine design activity data collected over 30 years by the Design Thinking Research Symposium (DTRS) ‘shared data’ series into a single corpus. We apply emerging techniques of analysis on this corpus and explore word forms, expressions, topics, and themes related to the particularities of how designers talk. We describe thr
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Zhu, Yangfu, Linmei Hu, Xinkai Ge, Wanrong Peng, and Bin Wu. "Contrastive Graph Transformer Network for Personality Detection." In Thirty-First International Joint Conference on Artificial Intelligence {IJCAI-22}. International Joint Conferences on Artificial Intelligence Organization, 2022. http://dx.doi.org/10.24963/ijcai.2022/633.

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Personality detection is to identify the personality traits underlying social media posts. Most of the existing work is mainly devoted to learning the representations of posts based on labeled data. Yet the ground-truth personality traits are collected through time-consuming questionnaires. Thus, one of the biggest limitations lies in the lack of training data for this data-hungry task. In addition, the correlations among traits should be considered since they are important psychological cues that could help collectively identify the traits. In this paper, we construct a fully-connected post g
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Link, Samantha, Sandeep Krishnakumar, and Jessica Menold. "Evaluating the Effect of Project Frame on Communicative Patterns in Capstone Design Pitches." In ASME 2022 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/detc2022-91229.

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Abstract Effective communication is an integral part of engineering design and leads to successful design outcomes. While there have been extensive calls to equip novice designers with effective communication skills, there is only a limited body of work that has attempted to characterize the communication patterns of novice designers, particularly when engaging with external audiences. This work seeks to characterize how the project type, or the nature of design problem, shapes the communicative patterns of novice designers when communicating design outcomes to external audiences. Presentation
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