Using natural language processing to analyse text data in behavioural science

Attention Is All You Need

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Long Short-Term Memory

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Glove: Global Vectors for Word Representation

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Language Models are Few-Shot Learners

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Indexing by latent semantic analysis

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VADER: a parsimonious rule-based model for sentiment analysis of social media text

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A Survey on Bias and Fairness in Machine Learning

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The Psychological Meaning of Words: LIWC and Computerized Text Analysis Methods

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A unified architecture for natural language processing: deep neural networks with multitask learning

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Distributional Structure

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LLaMA: Open and Efficient Foundation Language Models

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Liberals and conservatives rely on different sets of moral foundations.

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Experimental evidence of massive-scale emotional contagion through social networks

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Most people are not WEIRD

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What Makes Online Content Viral?

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Semantics derived automatically from language corpora contain human-like biases

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CROWDSOURCING A WORD–EMOTION ASSOCIATION LEXICON

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Density-Based Clustering Based on Hierarchical Density Estimates

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The rise of social bots

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Linguistic styles: language use as an individual difference

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Does Language Shape Thought?: Mandarin and English Speakers' Conceptions of Time

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Personality, Gender, and Age in the Language of Social Media: The Open-Vocabulary Approach

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Sentiment strength detection in short informal text

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LDAvis: A method for visualizing and interpreting topics

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Lying Words: Predicting Deception from Linguistic Styles

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BERTopic: Neural topic modeling with a class-based TF-IDF procedure

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Generative AI

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Emotion shapes the diffusion of moralized content in social networks

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A Survey of Opinion Mining and Sentiment Analysis

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Concept Decompositions for Large Sparse Text Data Using Clustering

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ChatGPT outperforms crowd workers for text-annotation tasks

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Echo Chamber or Public Sphere? Predicting Political Orientation and Measuring Political Homophily in Twitter Using Big Data: Political Homophily on Twitter

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Word embeddings quantify 100 years of gender and ethnic stereotypes

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Sentiment strength detection for the social web

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Language (Technology) is Power: A Critical Survey of “Bias” in NLP

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Language use of depressed and depression-vulnerable college students

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Cognitive, Emotional, and Language Processes in Disclosure

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Diachronic Word Embeddings Reveal Statistical Laws of Semantic Change

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SemEval-2016 Task 6: Detecting Stance in Tweets

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Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints

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Linguistic Markers of Psychological Change Surrounding September 11, 2001

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Automatic personality assessment through social media language.

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Anxious or Angry? Effects of Discrete Emotions on the Perceived Helpfulness of Online Reviews1

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Uniting the Tribes: Using Text for Marketing Insight

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Mine Your Own Business: Market-Structure Surveillance Through Text Mining

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Detecting depression and mental illness on social media: an integrative review

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Facebook language predicts depression in medical records

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Predicting consumer behavior with web search

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When Small Words Foretell Academic Success: The Case of College Admissions Essays

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Linguistic Style Matching in Social Interaction

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Out-group animosity drives engagement on social media

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Measuring emotional expression with the Linguistic Inquiry and Word Count.

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Language Style Matching Predicts Relationship Initiation and Stability

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Pronoun Use Reflects Standings in Social Hierarchies

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The Llama 3 Herd of Models

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Text Preprocessing For Unsupervised Learning: Why It Matters, When It Misleads, And What To Do About It

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Human–AI collaboration enables more empathic conversations in text-based peer-to-peer mental health support

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Psychological Language on Twitter Predicts County-Level Heart Disease Mortality

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Patterns of implicit and explicit attitudes: I. Long-term change and stability from 2007 to 2016

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Automating Linguistics-Based Cues for Detecting Deception in Text-Based Asynchronous Computer-Mediated Communications

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Benchmarking Large Language Models for News Summarization

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Perplexity—a measure of the difficulty of speech recognition tasks

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Over-reliance on English hinders cognitive science

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Sentiment Analysis

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Statistically Significant Detection of Linguistic Change

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Understanding the Political Representativeness of Twitter Users

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Deep learning for affective computing: Text-based emotion recognition in decision support

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Using large language models in psychology

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Measuring Technological Innovation over the Long Run

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More than a Feeling: Accuracy and Application of Sentiment Analysis

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Document Embedding with Paragraph VectorsPreprint

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Negativity drives online news consumption

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What Online Reviewer Behaviors Really Matter? Effects of Verbal and Nonverbal Behaviors on Detection of Fake Online Reviews

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Large-Scale Computerized Text Analysis in Political Science: Opportunities and Challenges

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GPT is an effective tool for multilingual psychological text analysis

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Language-based personality: a new approach to personality in a digital world

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Fitting In or Standing Out? The Tradeoffs of Structural and Cultural Embeddedness

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The Polarity of Online Reviews: Prevalence, Drivers and Implications

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The persuasive power of emotions: Effects of emotional expressions on attitude formation and change.

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AI generates covertly racist decisions about people based on their dialect

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Black Lives Matter protests shift public discourse

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Moralization in social networks and the emergence of violence during protests

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Winning words: Individual differences in linguistic style among U.S. presidential and vice presidential candidates

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Causal Inference in Natural Language Processing: Estimation, Prediction, Interpretation and Beyond

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Collective Emotions and Social Resilience in the Digital Traces After a Terrorist Attack

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Detecting Fraudulent Behavior on Crowdfunding Platforms: The Role of Linguistic and Content-Based Cues in Static and Dynamic Contexts

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Multilingual Machine Translation with Large Language Models: Empirical Results and Analysis

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Sentiment Analysis in the Age of Generative AI

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An ideological asymmetry in the diffusion of moralized content on social media among political leaders.

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Winning Arguments

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From Text to Thought: How Analyzing Language Can Advance Psychological Science

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From Scarcity to Abundance: Scholars and Scholarship in an Age of Generative Artificial Intelligence

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Conservatives report, but liberals display, greater happiness

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The role of personality, age, and gender in tweeting about mental illness

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Is Cosine-Similarity of Embeddings Really About Similarity?

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Fields of Gold: Scraping Web Data for Marketing Insights

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Overcoming Language Barriers in Academia: Machine Translation Tools and a Vision for a Multilingual Future

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Ethical research standards in a world of big data

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Evaluating Open-Domain Question Answering in the Era of Large Language Models

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It’s time to reimagine sample diversity and retire the WEIRD dichotomy

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Is Romantic Desire Predictable? Machine Learning Applied to Initial Romantic Attraction

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The veridical Near-Death Experience Scale: construction and a first validation with human and artificial raters

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Large language models in neuropsychology: Emerging applications and ethical considerations

Kronenberger, O. R., Gottlieb, M. C., & Cullum, C. M. (2025) · The Clinical Neuropsychologist · doi:10.1080/13854046.2025.2604094 · Cited by 4 · see citing works

An Explorative Diary Study of AI-Generated Podcasts in University Education: Benefits, Challenges, and Future Directions

Benner, D., Rauch, J., Janson, A., & Leimeister, J. (2025) · CHI Extended Abstracts · doi:10.1145/3706599.3719957 · Cited by 4 · see citing works

Leveraging social media and large language models for scalable alcohol risk assessment: Examining validity with AUDIT-C and post recency effects

Marengo, D., Quilghini, F., & Settanni, M. (2025) · Addictive Behaviors · doi:10.1016/j.addbeh.2025.108375 · Cited by 4 · see citing works

Automated neural network generation for industrial datasets, application to laser powder bed fusion

Avval, S. S. P., Abadie, T., & Yaghoubi, V. (2025) · Journal of Intelligent Manufacturing · doi:10.1007/s10845-025-02707-0 · Cited by 3 · see citing works

A domain-adapted large language model to support clinicians in psychiatric clinical practice

Wang, R., Liu, S., Zhang, L., Zhu, X., Yang, Z., Wang, H., Huang, J., Wang, Y., Yang, X., Wu, F., et al. (2026) · Nature Machine Intelligence · doi:10.1038/s42256-026-01224-w · Cited by 3 · see citing works

Generative psychometrics via AI-GENIE: Automatic item generation and validation with network-integrated evaluation

Russell-Lasalandra, L. L., Christensen, A. P., & Golino, H. F. (2026) · Behavior Research Methods · doi:10.3758/s13428-026-03082-1 · Cited by 3 · see citing works

Automated detection of algorithm debt in deep learning frameworks: an empirical study

Simon, E. I.-O., Hettiarachchi, C., Potanin, A., Suominen, H., & Fard, F. H. (2026) · Empirical Software Engineering · doi:10.1007/s10664-026-10807-5 · Cited by 3 · see citing works

Surfacing citizens’ policy perspectives at scale in the age of large language models

Lopez-Lopez, E., & Herzog, S. M. (2025) · Behavioral Science & Policy · doi:10.1177/23794607251346311 · Cited by 3 · see citing works

Assessing corporate sustainability with large language models: evidence from Europe

Forster, K., Keil, L., Wagner, V. S., Müller, M. A., Sellhorn, T., & Feuerriegel, S. (2026) · Nature Communications · doi:10.1038/s41467-026-75160-z · Cited by 2 · see citing works

‘Please explain your response’: A guide to uncovering cognitive processes from open-text box data using pragmatic and reflexive content analysis

Dewitt, S. H., Liefgreen, A., Adler, N., & Strittmatter, L. E. (2025) · Judgment and Decision Making · doi:10.1017/jdm.2025.10010 · Cited by 2 · see citing works

Price-sensitive feature analysis from online reviews using a tiered information extraction framework for product optimization

Fu, S., She, X., Wan, R., Xu, X., & Xiong, X. (2025) · Information Processing & Management · doi:10.1016/j.ipm.2025.104490 · Cited by 2 · see citing works

Error‐Tolerant Multimodal Vision‐Language Models for Endodontic Triaging: A Cross‐Sectional Study

Titu, M. F. S., Pavel, M. A., Apurba, A. Z., Ahmed, S., Rahman, S., Dudley, J., & Farook, T. H. (2026) · International Journal of Dentistry · doi:10.1155/ijod/4148741 · Cited by 2 · see citing works

A Country That Never Sleeps? A Web Scrapping Analysis of the 24‐h Economy Policy in Ghana

Gamette, P., Loglo, E. S., Anaisie, F. T., & Asongu, S. A. (2026) · Thunderbird International Business Review · doi:10.1002/tie.70112 · Cited by 2 · see citing works

Emotion and Cognition Based Mental Health Analysis from Social Media

Angelin Jeba, P., Jebaseeli, T. J., Selvarathi, M., Shaji, A., Thomas, I., & Agilesh Vigram, S. (2026) · Journal of Trends in Computer Science and Smart Technology · doi:10.36548/jtcsst.2026.1.008 · Cited by 2 · see citing works

Necro‑Branding and Psychographic Segmentation of Necro‑Celebrities vis‑à‑vis Alive‑Celebrities: a methodological 3‑step text‑analysis of Elvis Presley, the Royal Family, Picasso & Co.

Mu, S. R., & Baumann, C. (2026) · Journal of Strategic Marketing · doi:10.1080/0965254x.2026.2638454 · Cited by 2 · see citing works

Proprietary LLMs impede scientific transparency and reproducibility

McLoughlin, K. L., Palmer, A., Matias, J. N., & Crockett, M. J. (2026) · Nature Reviews Psychology · doi:10.1038/s44159-026-00593-8 · Cited by 2 · see citing works

The historical psychology of romantic love in Persia in the very long run (900 - 1920)

Samani, H., Parsanasab, M., & Baumard, N. (2025) · Current Research in Ecological and Social Psychology · doi:10.1016/j.cresp.2025.100233 · Cited by 2 · see citing works

Performance of Transformer-Based Methods on Restaurant Reviews Analysis

Karaduman, M., Baydemir, M. B., & Yıldırım, M. (2025) · Firat University Journal of Experimental and Computational Engineering · doi:10.62520/fujece.1632266 · Cited by 1 · see citing works

Integrating clinical anxiety scales with pre-trained language models for anxiety recognition on social media

Zhu, J., Zhang, Z., Li, Z., & Hu, B. (2025) · Health Information Science and Systems · doi:10.1007/s13755-025-00372-4 · Cited by 1 · see citing works

A tutorial on fine-tuning pretrained language models: Applications in social and behavioral science research

Wang, Y., & Qu, W. (2025) · Behavior Research Methods · doi:10.3758/s13428-025-02868-z · Cited by 1 · see citing works

Applications of artificial intelligence in the research of molecular mechanisms of traditional Chinese medicine formulas

Chen, H., Tang, R., Hong, M., Zhao, J., Lu, D., Luan, X., Zheng, G., & Zhang, W. (2025) · Chinese Journal of Natural Medicines · doi:10.1016/s1875-5364(25)60903-4 · Cited by 2 · see citing works

Thinking about tomorrow: A population-based natural language processing analysis of young adults' hopes and worries for the future

Haag, C., Bürgin, D., Büeler, L. A., Janousch, C., Bechtiger, L., Ribeaud, D., Eisner, M., Shanahan, L., & von Wyl, V. (2026) · Journal of Affective Disorders · doi:10.1016/j.jad.2026.121221 · Cited by 1 · see citing works

Experience sampling methods require more than numbers

Bringmann, L., Guðmundsdóttir, G. R., Schorrlepp, L., Vogelsmeier, L., Smet, M. D., Vrijen, C., van Roekel, E., Fritz, J., Chen, J. X., Kirtley, O., et al. (2026) · Communications Psychology · doi:10.1038/s44271-026-00416-9 · Cited by 1 · see citing works

Cognitive networks highlight differences and similarities in the STEM mindsets of human and LLM-simulated trainees, experts and academics

Haim, E., van den Bergh, L., Siew, C. S. Q., Kenett, Y. N., Marinazzo, D., & Stella, M. (2026) · Journal of Complex Networks · doi:10.1093/comnet/cnag004 · Cited by 1 · see citing works

Beyond means: A dynamic framework for predicting customer satisfaction

Naumzik, C., Maarouf, A., Feuerriegel, S., & Weinmann, M. (2026) · International Journal of Research in Marketing · doi:10.1016/j.ijresmar.2026.03.006 · Cited by 1 · see citing works

Designing Computational Tools for Exploring Causal Relationships in Qualitative Data

Meng, H., Lyu, Q., Qin, P., Yang, Y., Zhang, R., Lin, W.-C., & Lee, Y. (2026) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3772318.3791953 · Cited by 1 · see citing works

Developing a welfare module for the Australian forensic-register

Butterworth, J., Hover, A., McCarthy, D. J., & Tangen, J. M. (2026) · Australian Journal of Forensic Sciences · doi:10.1080/00450618.2026.2654421 · Cited by 1 · see citing works

Individual traits and experiences predict the content of dreams

Elce, V., Bontempi, G., Scarpelli, S., Pedreschi, B., Pietrini, P., Gennaro, L. D., Bellesi, M., Bernardi, G., & Handjaras, G. (2026) · Communications Psychology · doi:10.1038/s44271-026-00447-2 · Cited by 3 · see citing works

Exploiting Language Model and Semantic Analysis for Actively Tracing Textual Information Provenance

Chen, H., Shuai, H., Chen, Y., & Wu, H. (2026) · Signal Image and Video Processing · doi:10.1007/s11760-026-05363-w · Cited by 1 · see citing works

Stage-Wise Systemic Evolution of China’s Digital Economy: Evidence from Topic Modeling of Think Tank Reports

Xie, G., Tian, Y., & Zhang, R. (2026) · Systems · doi:10.3390/systems14050495 · Cited by 1 · see citing works

Navigating legal and ethical challenges in artificial intelligence: towards responsible governance and innovation in India

Ranaware, V., & Karale, S. (2026) · International Journal of Systems Assurance Engineering and Management · doi:10.1007/s13198-026-03378-7 · Cited by 1 · see citing works

Public perceptions of AI energy consumption: Awareness, responsibility attribution, and strategies

Klesel, M., & Messer, U. (2026) · Electronic Markets · doi:10.1007/s12525-026-00908-w · Cited by 2 · see citing works

GPT outperforms BERT and LIWC for stance and anger detection in German news articles and user comments

Mayrhofer, L., Foramitti, M., Fassnacht, S., Köhler, J. K., Todorova, B., Lamm, C., & Martins, M. J. D. (2026) · Frontiers in Political Science · doi:10.3389/fpos.2026.1745587 · Cited by 1 · see citing works

Cross-linguistic benchmarking of NLP metrics for psychosis research

Stein, D., Bobrovskiy, D., Stede, M., Montag, C., & Just, S. A. (2026) · npj Digital Medicine · doi:10.1038/s41746-026-03053-y · Cited by 1 · see citing works

Sample credibility in literature reviews: a descriptive methodological review and guidance framework

Hahn, R. (2026) · Management Review Quarterly · doi:10.1007/s11301-026-00626-9 · Cited by 1 · see citing works

A systematic review and meta-analysis of communication strategies to promote climate action

Herberz, M., Uenal, F., Gouiran, M. D., Krainz, M., Pagel, L., Schmid, D. F., Spampatti, T., Mora, I. V., & Brosch, T. (2026) · Journal of Environmental Psychology · doi:10.1016/j.jenvp.2026.103176 · Cited by 1 · see citing works

Using Natural Language Processing (NLP) to assess changes in transdisciplinary understandings across a large research consortium

Black, D., Gopsill, J., Rosenberg, G., Silvonen, T., Kukreja, A., & Hicks, B. J. (2026) · PLOS Sustainability and Transformation · doi:10.1371/journal.pstr.0000222 · Cited by 1 · see citing works

Automatic theme and motif identification in large-scale English literary corpora using deep learning approaches

Yang, D. (2025) · Journal of Computational Methods in Sciences and Engineering · doi:10.1177/14727978251337975 · Cited by 1 · see citing works

Characterizing AI-Generated Misinformation on Social Media

Drolsbach, C., Demirel, E., & Pröllochs, N. (2025) · arXiv · doi:10.48550/arxiv.2505.10266

A text mining and grounded theory analysis of the dissemination of public opinion toward food safety incidents

Pei, J., Lin, Z., Cui, H., & Shan, P. (2025) · Journal of Computational Methods in Sciences and Engineering · doi:10.1177/14727978251337980

Leveraging Large Language Models to Map Triggers of Contamination-Related Obsessive-Compulsive SymptomsPreprint

Bentz, D., & Wulff, D. U. (2025) · medRxiv · doi:10.1101/2025.05.15.25327706

Compiler Identification with Divisive Analysis and Support Vector Machine

Liu, C., Zhang, Y., Zuo, P., & Wang, P. (2025) · Symmetry · doi:10.3390/sym17060867

Stemming the Tide of the US Overdose Crisis: How Can We Leverage the Power of Data Science and Artificial Intelligence?

Cerdá, M., Neill, D. B., Matthay, E. C., JENKINS, J. A., Marshall, B. D. L., & Keyes, K. M. (2025) · Milbank Quarterly · doi:10.1111/1468-0009.70025

Cyberbullying victimization identification and large language model-assisted assessment: a study of cyberbullying victimization lexicon construction and validation

Liu, X., Liao, Y., Feng, F., Tu, Y., Kang, X., Liu, M., & Han, N. (2026) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2026.1826042

Tracking funding disparities in global health aid with machine learning

Stürenburg, F., Forster, K., Banholzer, N., Toetzke, M., Harttgen, K., & Feuerriegel, S. (2026) · Nature Communications · doi:10.1038/s41467-026-76542-z

A Statistical Framework for Modeling Behavioral Engagement via Topic and Psycholinguistic Features: Evidence from High-Dimensional Text Data

Li, D., & Zhang, Y. (2025) · Mathematics · doi:10.3390/math13152374

Personalized Learning Style Classification and Adaptive Teaching with SRE-TransformerNet

Zhang, Z., Yu, C., Li, C., Li, M., & Hu, J. (2025) · Communications in computer and information science · doi:10.1007/978-981-96-9986-5_27

Web Uygulamalarına Yönelik Siber Saldırıların Tespitinde Derin Öğrenme Yöntemleri Kullanılarak Güvenlik Duvarı Uygulamasının Geliştirilmesi

Bayrak, Ş., Karaca, A., Toson, F., Tayfur, M. E., & Yavaş, S. (2025) · DÜMF Mühendislik Dergisi · doi:10.24012/dumf.1634525

Dual-space relation-aware entity representation learning for personalized compatibility modeling

Liu, J., Cui, X., Song, X., Yu, Y., Xu, M., & Du, J. (2025) · Expert Systems with Applications · doi:10.1016/j.eswa.2025.129428

How to Harness the Potential of User-Generated Content for Management Decisions

Kübler, R. V., Burmester, A. B., Paetz, F., & Klarmann, M. (2025) · Schmalenbach Journal of Business Research · doi:10.1007/s41471-025-00226-5

LSNet: Adaptive Latent Space Networks for Vulnerability Severity Assessment

Wang, Y., Zhang, J., & Huang, M. (2025) · Information · doi:10.3390/info16090779

Iterated and Linear SVMs in Text Classification: An Ensemble Feature Engineering Model

Aydemir, E., Barua, P. D., Chakraborty, S., Hafeez‐Baig, A., Doğan, Ş., Tuncer, T., Tan, R., & Acharya, U. R. (2025) · Arabian Journal for Science and Engineering · doi:10.1007/s13369-025-10666-0

From Likert Scales to Large Language Models: Validating a Computational Approach to Psychological Assessment of Future Self-Continuity

Sokol, Y., & Goodman, M. S. (2025) · Journal of Personality Assessment · doi:10.1080/00223891.2025.2576664

New Technology and OB/HRM in China: Digital Methods for Organizational Research

Li, N., He, W., Yam, K. C., & Zhao, H. H. (2025) · Management and Organization Review · doi:10.1017/mor.2025.10103

embedplyr: Tools for Working With Text Embeddings

Teitelbaum, L. (2025) · The Journal of Open Source Software · doi:10.21105/joss.08262

Mapping source code to software architecture using embedding models: Insights from an analysis of data properties

Johansson, N., & Caporuscio, M. (2026) · Information and Software Technology · doi:10.1016/j.infsof.2026.108200

The anchoring role of emotional attachment in adoption and sustained use of AI-Based Resurrection ProductsPreprint

Zhang, Y., Zheng, X., Chen, X., Wang, P., & Hua, M. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5800066

Semantic Framing and User Engagement: Evidence from Large-Scale Headline Experiments Using Language Model EmbeddingsPreprint

Wang, X., & Huang, Z. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5788382

Enhancing multi-layered holography with complex-valued generative adversarial networks

Yuan, H. Q., Piao, M.-L., Zhu, T., & Liu, W. (2025) · Measurement · doi:10.1016/j.measurement.2025.120196

Automated Identification of Adolescent Stressors Using a Python-Based Quantitative Content Analysis Algorithm

Chen, T., & Chen, T. (2025) · International Conference on Modern Education and Information Management (ICMEIM) · doi:10.1109/icmeim66684.2025.11307069

Collective intelligence: Conceptualization, mechanism, and measurement

Chu, G., Zhimou, W. A. N. G., Jing, H. U., & Zhan, P. (2026) · Advances in Psychological Science · doi:10.3724/sp.j.1042.2026.0515

Sentiment and Emotion Analysis of Airline Customer Reviews from a Travel Review Platform

Helal, M., & Nag, K. (2025) · IEEE International Conference on Emerging Trends in Engineering and Computing (ETECOM) · doi:10.1109/etecom66111.2025.11319037

Personality descriptions of lawyers: A 120-year big data analysis of English books

Xu, L., Wu, Y., & Jiang, Z. (2026) · Personality and Individual Differences · doi:10.1016/j.paid.2026.113685

When Better Performance Feels the Same: Performance Underestimation in Human-AI CollaborationPreprint

Voigt, J., & Berger, S. (2026) · SSRN Electronic Journal · doi:10.2139/ssrn.6164246

A CEO-Driven Process Model of Firm Responsiveness to Secondary Stakeholder Demands: The Roles of CEO Values and Passion

Neville, F., Rizzi, G. A., & Lovelace, J. B. (2026) · Journal of Management · doi:10.1177/01492063261416425

Learning with Imbalance Noisy Labels via Confidence-guided Sample Mixing and Negative LearningPreprint

Liu, Y., Zhang, G. F., & Wei, X. (2026) · Research Square · doi:10.21203/rs.3.rs-8363340/v1

Retention and transformation of internal experiences in autobiographical memory narratives

Su, H., Zhang, M., Knight, C., Zhao, M., & Lee, H. (2026) · Communications Psychology · doi:10.1038/s44271-026-00425-8

Analyzing Textual Data in Behavioral Science with Natural Language Processing

Warveen, M. E., & Ibrahim, M. I. (2025) · Engineering and Technology Journal · doi:10.5281/zenodo.15125218

Natural Language Processing in Behavioural Data Science

Vecchio, M. D. (2026) · Cambridge University Press eBooks · doi:10.1017/9781108939010.043

How developments in natural language processing help us in understanding human behaviour

Mihalcea, R. F., Biester, L., Boyd, R. L., Jin, Z., Pérez‐Rosas, V., Wilson, S. R., & Pennebaker, J. W. (2024) · Nature Human Behaviour · doi:10.1038/s41562-024-01938-0 · Cited by 34 · see citing works

Natural Language Processing to Identify Trends and Gaps in the Published Science of Behavior Analysis

Sosine, J., & Cox, D. J. (2021) · doi:10.13140/rg.2.2.15624.34560

A Bibliometric Review of Natural Language Processing Applications in Psychology from 1991 to 2023

Chen, G., Tan, B., Laham, N., Tracey, T. J. G., Lapinski, S., & Liu, Y. (2024) · Basic and Applied Social Psychology · doi:10.1080/01973533.2024.2433720 · Cited by 11 · see citing works