Twitter-Sentiment-Analysis

Built a machine learning model to classify tweets collected from the dataset provided by Analytics Vidhya as positive or negative.
Used text classification techniques like Text pre-processing, tokenizing and filtering of stop words.
Submitted the results to Analytics Vidhya and achieved an accuracy of 75% on the validation set. You can find the code here

Name		Name	Last commit message	Last commit date
Latest commit History 5 Commits
README.md		README.md
Sentiment_Analysis.ipynb		Sentiment_Analysis.ipynb
output.csv		output.csv
sample_submission.csv		sample_submission.csv
test_tweets.csv		test_tweets.csv
train_tweets.csv		train_tweets.csv

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