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Sentiment Analysis of Covid-related Reddits

arXiv 2205.06863 ↗First posted 13 May 2022cs.CL cs.LG cs.SIcited by 0

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Abstract (arXiv)

This paper focuses on Sentiment Analysis of Covid-19 related messages from the r/Canada and r/Unitedkingdom subreddits of Reddit. We apply manual annotation and three Machine Learning algorithms to analyze sentiments conveyed in those messages. We use VADER and TextBlob to label messages for Machine Learning experiments. Our results show that removal of shortest and longest messages improves VADER and TextBlob agreement on positive sentiments and F-score of sentiment classification by all the three algorithms

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 2 of its 12 references that are in the map. First posted on arXiv 13 May 2022.

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References · 2

  1. 2018Corpus Statistics in Text Classification of Online Datacited by 1
  2. 2021Sentiment Analysis of the COVID-related r/Depression Postscited by 1

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