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Java Deep Learning Projects by Md. Rezaul Karim

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Sentiment analysis using Word2Vec and the LSTM network

In this project, we saw how to develop a sentiment analysis application using Word2Vec and LSTM. We also discussed how to convert unstructured texts into neural word embedding, and later on transform them into the sequence form required to train the LSTM network. Then we trained LSTM with the sequence of the corresponding texts at each time step. 

This project also addressed a binary classification problem with very high accuracy. In the same line, this application can be extended for classifying other problems, such as spam versus ham for messages and email, and movie or product reviews. Finally, in the FAQ section, we discussed how to solve the same problem with CNN, which can achieve ...

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