GitHub - ishagarg1809/Tweet-Sentiment-Analysis: Tweet Sentiment Analyser is a model that fetches tweets using the twitter API and classifies them as Negative, Positive or Neutral using SVC based on the tweet’s sentiment with an 80% accuracy.

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Tweet Sentiment Analyser is a model that fetches tweets using the twitter API and classifies them as Negative, Positive or Neutral using SVC based on the tweet’s sentiment with an 80% accuracy.

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Name		Name	Last commit message	Last commit date
Latest commit History 3 Commits
Y_twitter_test.csv		Y_twitter_test.csv
test_twitter_x_test.csv		test_twitter_x_test.csv
training_twitter_x_y_train.csv		training_twitter_x_y_train.csv
twitter_sentiment.ipynb		twitter_sentiment.ipynb

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Tweet Sentiment Analyser is a model that fetches tweets using the twitter API and classifies them as Negative, Positive or Neutral using SVC based on the tweet’s sentiment with an 80% accuracy.

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