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@@ -21,8 +21,21 @@ The objective of this task is to detect hate speech in tweets. Tweet contains ne
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* Stemming
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# WordCloud
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![alt text](https://github.com/shreyaswankhede/Twitter-Sentiment-Analysis-in-Python/blob/master/wordcloud.PNG
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"Correlation between features")
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# Feature Extraction:
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<br> 1. Bag Of Words
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<br> 2. TF-IDF
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<br> 3. Word2Vec
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# Model Building:
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<br> Building Logistic Regression and Support Vector Machine (SVM) on BOW, TF-IDF & Word2Vec features.
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# Results:
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<br> Logistic Regression and SVM on Word2Vec features outperforms the other model.
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