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shahnizam1's Projects

datastories-semeval2017-task4 icon datastories-semeval2017-task4

Deep-learning model presented in "DataStories at SemEval-2017 Task 4: Deep LSTM with Attention for Message-level and Topic-based Sentiment Analysis".

deeplearningmovies icon deeplearningmovies

Kaggle's competition for using Google's word2vec package for sentiment analysis

sa-dl icon sa-dl

Sentiment Analysis with Deep Learning models. Implemented with Tensorflow and Keras.

sentiment-analysis-using-lstm icon sentiment-analysis-using-lstm

This is the repository for the Sentiment Analysis task on IMDB Movie Reviews for classifying positive and negative reviews, using LSTM networks, TensorFlow and GloVe embedding.

sentiment-analysis-with-lstm icon sentiment-analysis-with-lstm

A LSTM approach to sentiment analysis using TensorFlow. Built with inspiration and a base model from the repository of adeshpande3

sentiment_analysis icon sentiment_analysis

I have built a model which will predict the sentiment of movie reviews. I used Naive-Bayes, SVM, and RNN+LSTM based model to obtain really good result.

sentimentanalysis_cnn_rnn icon sentimentanalysis_cnn_rnn

An example of a sentiment analysis program, used on the IMDB movie review dataset. The program uses the Keras deep learning library. First, it imports the IMDB movie set, then uses a Convolutional Neural Network (CNN) to extract out invariant features detailing a good or bad movie review. Finally, it passes it through a recursive neural network (RNN) using LSTMs to learn the state transitions of the invariant features.

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