Context is Important in Depressive Language: A Study of the Interaction Between the Sentiments and Linguistic Markers in Reddit Discussions
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Abstract (arXiv)
Research exploring linguistic markers in individuals with depression has demonstrated that language usage can serve as an indicator of mental health. This study investigates the impact of discussion topic as context on linguistic markers and emotional expression in depression, using a Reddit dataset to explore interaction effects. Contrary to common findings, our sentiment analysis revealed a broader range of emotional intensity in depressed individuals, with both higher negative and positive sentiments than controls. This pattern was driven by posts containing no emotion words, revealing the limitations of the lexicon based approaches in capturing the full emotional context. We observed several interesting results demonstrating the importance of contextual analyses. For instance, the use of 1st person singular pronouns and words related to anger and sadness correlated with increased positive sentiments, whereas a higher rate of present-focused words was associated with more negative sentiments. Our findings highlight the importance of discussion contexts while interpreting the language used in depression, revealing that the emotional intensity and meaning of linguistic markers can vary based on the topic of discussion.
Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 5 of its 40 references that are in the map. First posted on arXiv 28 May 2024.
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References · 5
- 2022BERTopic: Neural topic modeling with a class-based TF-IDF procedurecited by 801
- 2020TweetEval: Unified Benchmark and Comparative Evaluation for Tweet Classificationcited by 417
- 2018SMHD: A Large-Scale Resource for Exploring Online Language Usage for Multiple Mental Health Conditionscited by 73
- 2023Language and Mental Health: Measures of Emotion Dynamics from Text as Linguistic Biosocial Markerscited by 11
- 2022Then and Now: Quantifying the Longitudinal Validity of Self-Disclosed Depression Diagnosescited by 4
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