- Sentiment Analysis is the use of natural language processing, text analysis, computational linguistics, and biometrics to systematically identify, extract, quantify and study affective states and subjective information. Sentiment analysis is widely applied to voice of the customer materials such as reviews and survey responses, online and social media and healthcare materials for applications that range from marketing to customer service to clinical medicine.
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In this repository, I have worked out on the Large Movie Review Dataset for the Sentiment Analysis of Text. I have Implemented the CNN, RNN and LSTM to predict the Sentiment of the Text Data.
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ThinamXx/NeuralNetworks__SentimentAnalysis
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In this repository, I have worked out on the Large Movie Review Dataset for the Sentiment Analysis of Text. I have Implemented the CNN, RNN and LSTM to predict the Sentiment of the Text Data.
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