This dataset contains IDs and sentiment scores of the geo-tagged tweets related to the COVID-19 pandemic. The tweets are captured by an on-going project deployed at https://live.rlamsal.com.np. The mo
Weibo tweets with emoticons used in PloS ONE paper 'Emoticon-based Ambivalent Expression: A Hidden Indicator for Unusual Behaviors in Weibo'. More details can be found in the README file.
We used Twitter and Reddit to collect public opinion/sentiment about the Ukraine-Russia war from January 2022 to July 2022. On Twitter, there are several hashtags, with Ukraine-Russia posts receiving
Sentiment analysis is a pivotal domain in Natural Language Processing (NLP), particularly for understanding opinions expressed in sequential and textual data with the usage of machine learning. It inv