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Added abdulfatir/twitter-sentiment-analysis.
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@ -96,6 +96,8 @@ _**Caveats**: A key problem in sentiment analysis is its sensitivity to the doma
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[xiaohan2012/twitter-sent-dnn](https://github.com/xiaohan2012/twitter-sent-dnn): Supervised Machine Learning, Deep Learning, Convolutional Neural Network. [[paper]](http://phd.nal.co/papers/Kalchbrenner_DCNN_ACL14)
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[xiaohan2012/twitter-sent-dnn](https://github.com/xiaohan2012/twitter-sent-dnn): Supervised Machine Learning, Deep Learning, Convolutional Neural Network. [[paper]](http://phd.nal.co/papers/Kalchbrenner_DCNN_ACL14)
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[abdulfatir/twitter-sentiment-analysis](https://github.com/abdulfatir/twitter-sentiment-analysis): Sentiment analysis on tweets using Naive Bayes, SVM, CNN, LSTM, etc.
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[kevincobain2000/sentiment_classifier](https://github.com/kevincobain2000/sentiment_classifier): Supervised Machine Learning, Naive Bayes Classifier, Max Entropy Classifier, SentiWordNet.
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[kevincobain2000/sentiment_classifier](https://github.com/kevincobain2000/sentiment_classifier): Supervised Machine Learning, Naive Bayes Classifier, Max Entropy Classifier, SentiWordNet.
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[pedrobalage/SemevalAspectBasedSentimentAnalysis](https://github.com/pedrobalage/SemevalAspectBasedSentimentAnalysis): Aspect-Based, Supervised Machine Learning, Conditional Random Field.
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[pedrobalage/SemevalAspectBasedSentimentAnalysis](https://github.com/pedrobalage/SemevalAspectBasedSentimentAnalysis): Aspect-Based, Supervised Machine Learning, Conditional Random Field.
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