Ecosyste.ms: Awesome

An open API service indexing awesome lists of open source software.

Awesome Lists | Featured Topics | Projects

https://github.com/raksh710/covid-19_tweets_sentiment_analysis

Predicted the sentiment associated with tweets made on the topic of Covid-19 pandemic. Tweets were classified into "Positive", "Extremely Positive", "Neutral","Negative" and "Extremely Negative". TF-IDF Vectorization was used to vectorize the tokens present in the tweets and then to classify "CatBoost" algorithm was used. Ultimately achieving an accuracy of around 57%.
https://github.com/raksh710/covid-19_tweets_sentiment_analysis

Last synced: about 1 month ago
JSON representation

Predicted the sentiment associated with tweets made on the topic of Covid-19 pandemic. Tweets were classified into "Positive", "Extremely Positive", "Neutral","Negative" and "Extremely Negative". TF-IDF Vectorization was used to vectorize the tokens present in the tweets and then to classify "CatBoost" algorithm was used. Ultimately achieving an accuracy of around 57%.

Awesome Lists containing this project