mlsanityData to 7 Oct 2026

You Are What You Talk About: Inducing Evaluative Topics for Personality Analysis

arXiv 2302.00493 ↗First posted 1 Feb 2023cs.CLcited by 1

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Abstract (arXiv)

Expressing attitude or stance toward entities and concepts is an integral part of human behavior and personality. Recently, evaluative language data has become more accessible with social media's rapid growth, enabling large-scale opinion analysis. However, surprisingly little research examines the relationship between personality and evaluative language. To bridge this gap, we introduce the notion of evaluative topics, obtained by applying topic models to pre-filtered evaluative text from social media. We then link evaluative topics to individual text authors to build their evaluative profiles. We apply evaluative profiling to Reddit comments labeled with personality scores and conduct an exploratory study on the relationship between evaluative topics and Big Five personality facets, aiming for a more interpretable, facet-level analysis. Finally, we validate our approach by observing correlations consistent with prior research in personality psychology.

Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 9 of its 59 references that are in the map. First posted on arXiv 1 Feb 2023.

Builds on

9 of 59 references.

References · 9

  1. 2019Sentence-BERT: Sentence Embeddings using Siamese BERT-Networkscited by 9,049
  2. 2013Efficient Estimation of Word Representations in Vector Spacecited by 4,346
  3. 2020Pre-training is a Hot Topic: Contextualized Document Embeddings Improve Topic Coherencecited by 121
  4. 2021Is Automated Topic Model Evaluation Broken?: The Incoherence of Coherencecited by 74
  5. 2019Classification and Clustering of Arguments with Contextualized Word Embeddingscited by 57
  6. 2020PANDORA Talks: Personality and Demographics on Redditcited by 40
  7. 2018Coherence-Aware Neural Topic Modelingcited by 26
  8. 2020Embarrassingly Simple Unsupervised Aspect Extractioncited by 13
  9. 2017Latent Human Traits in the Language of Social Media: An Open-Vocabulary Approachcited by 7

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