Sentiment Analysis of Covid-related Reddits

05/13/2022
by   Yilin Yang, et al.
0

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

READ FULL TEXT
research
07/28/2021

Sentiment Analysis of the COVID-related r/Depression Posts

Reddit.com is a popular social media platform among young people. Reddit...
research
08/27/2020

Cross-language sentiment analysis of European Twitter messages duringthe COVID-19 pandemic

Social media data can be a very salient source of information during cri...
research
09/30/2022

A Survey: Credit Sentiment Score Prediction

Manual approvals are still used by banks and other NGOs to approve loans...
research
07/04/2018

Polarity and Intensity: the Two Aspects of Sentiment Analysis

Current multimodal sentiment analysis frames sentiment score prediction ...
research
09/17/2023

How People Perceive The Dynamic Zero-COVID Policy: A Retrospective Analysis From The Perspective of Appraisal Theory

The Dynamic Zero-COVID Policy in China spanned three years and diverse e...
research
09/01/2019

Monitoring stance towards vaccination in Twitter messages

We developed a system to automatically classify stance towards vaccinati...
research
07/26/2021

Compensation Learning

Weighting strategy prevails in machine learning. For example, a common a...

Please sign up or login with your details

Forgot password? Click here to reset