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In this project, I made sentiment analysis through tweets. Here I used Naive Bayes and Logistics Regression method. Then I calculated the accuracy values ​​of SVM, Naive Bayes and Logistic Regression.

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Buse5/Twitter_Sentiment_Analysis

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.ipynb_checkpoints
.ipynb_checkpoints
 
 
__pycache__
__pycache__
 
 
stopwords
stopwords
 
 
twitter_samples
twitter_samples
 
 
README.md
README.md
 
 
naive_bayes.ipynb
naive_bayes.ipynb
 
 
negative_tweets.json
negative_tweets.json
 
 
positive_tweets.json
positive_tweets.json
 
 
processing_transformation.ipynb
processing_transformation.ipynb
 
 
regression.ipynb
regression.ipynb
 
 
summary.ipynb
summary.ipynb
 
 
utils_2.py
utils_2.py
 
 

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Twitter_Sentiment_Analysis

In this project, I made sentiment analysis through tweets. Here I used Naive Bayes and Logistics Regression method. Then I calculated the accuracy values ​​of SVM, Naive Bayes and Logistic Regression.

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In this project, I made sentiment analysis through tweets. Here I used Naive Bayes and Logistics Regression method. Then I calculated the accuracy values ​​of SVM, Naive Bayes and Logistic Regression.

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