mlsanityData to 7 Oct 2026

Sentiment Analysis of the COVID-related r/Depression Posts

arXiv 2108.06215 ↗First posted 28 Jul 2021cs.IR cs.CL cs.LGcited by 1

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Abstract (arXiv)

Reddit.com is a popular social media platform among young people. Reddit users share their stories to seek support from other users, especially during the Covid-19 pandemic. Messages posted on Reddit and their content have provided researchers with opportunity to analyze public concerns. In this study, we analyzed sentiments of COVID-related messages posted on r/Depression. Our study poses the following questions: a) What are the common topics that the Reddit users discuss? b) Can we use these topics to classify sentiments of the posts? c) What matters concern people more during the pandemic? Key Words: Sentiment Classification, Depression, COVID-19, Reddit, LDA, BERT

Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 15 of its 38 references that are in the map. First posted on arXiv 28 Jul 2021.

Builds on

15 of 38 references.

References · 15

  1. 2017Attention Is All You Needcited by 59,932
  2. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
  3. 2019RoBERTa: A Robustly Optimized BERT Pretraining Approachcited by 13,266
  4. 2019XLNet: Generalized Autoregressive Pretraining for Language Understandingcited by 2,801
  5. 2019Transformer-XL: Attentive Language Models Beyond a Fixed-Length Contextcited by 1,830
  6. 2020The Pushshift Reddit Datasetcited by 289
  7. 2020Comparing BERT against traditional machine learning text classificationcited by 45
  8. 2019Improving short text classification through global augmentation methodscited by 33
  9. 2013Sentiment Analysis in the Newscited by 20
  10. 2020Deep Sentiment Classification and Topic Discovery on Novel Coronavirus or COVID-19 Online Discussions: NLP Using LSTM Recurrent Neural Network Approachcited by 20
  11. 2020Engagement Patterns of Peer-to-Peer Interactions on Mental Health Platformscited by 16
  12. 2020Cost-Sensitive BERT for Generalisable Sentence Classification with Imbalanced Datacited by 14
3 more
  1. 2015Twitter Sentiment Analysis: Lexicon Method, Machine Learning Method and Their Combinationcited by 11
  2. 2019Learning document embeddings along with their uncertaintiescited by 4
  3. 2020Symptom extraction from the narratives of personal experiences with COVID-19 on Redditcited by 4

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Citing papers per year: 2022: 1.

1 paper.

  1. 2022Sentiment Analysis of Covid-related Redditscited by 0