Alternatives and similar repositories for Sentiment-Analysis-NLP

Users that are interested in Sentiment-Analysis-NLP are comparing it to the libraries listed below

• philipperemy / LSTM-text-generation
  Generating NEW Reuters articles from Reuters articles.
  ☆15Updated 8 years ago
• awjuliani / DNN-Sentiment
  Convolutional and recurrent deep neural networks for text sentiment analysis.
  ☆32Updated 8 years ago
• dmnelson / sentiment-analysis-imdb
  Example project of sentiment analysis using LSTM NN on IMDB reviews database
  ☆21Updated 9 years ago
• dselivanov / word_embeddings
  Experiments on english wikipedia. GloVe and word2vec.
  ☆13Updated 9 years ago
• vsl9 / Sentiment-Analysis-with-Convolutional-Networks
  Convolutional Neural Network model for Sentiment Analysis of IMDB movie reviews
  ☆65Updated 8 years ago
• MLWave / Kaggle_Rotten_Tomatoes
  Code to munge data between Kaggle .tsv Rotten Tomatoes Sentiment Analysis data set and Vowpal Wabbit
  ☆24Updated 11 years ago
• jperl / stock2vec
  📈 Stock embeddings based on PE context
  ☆75Updated 8 years ago
• sindbach / doc2vec_pymongo
  Machine learning prediction of movies genres using Gensim's Doc2Vec and PyMongo - (Python, MongoDB)
  ☆36Updated 2 years ago
• giuseppebonaccorso / Reuters-21578-Classification
  Text classification with Reuters-21578 datasets using Gensim Word2Vec and Keras LSTM
  ☆45Updated 7 years ago
• samiroid / CUE-CNN
  ☆28Updated 6 years ago
• rupakc / Kaggle-Compendium
  Baseline Python Scripts for Popular Kaggle Competitions
  ☆17Updated 2 years ago
• joosthub / pytorch-nlp-tutorial-sf2017
  Materials for O'Reilly DL 4 NLP tutorial (SF 2017)
  ☆25Updated 7 years ago
• minimaxir / predict-reddit-submission-success
  Repository w/ Jupyter + R Notebooks for creating a model to predict the success of Reddit submissions with Keras.
  ☆28Updated 8 years ago
• philipperemy / keras-seq2seq-example
  Toy Keras implementation of a seq2seq model with examples.
  ☆47Updated 5 years ago
• shayanzare007 / EntitySentiment
  Entity level sentiment analysis for product reviews using deep learning
  ☆56Updated 8 years ago
• omkar-dsd / mini_projects
  This repo contains collection of various mini projects.
  ☆13Updated 6 years ago
• dipendra009 / MNIST_TF-Slim
  MNIST classification using TensorFlow and TensorFlow Slim
  ☆14Updated 8 years ago
• cavaunpeu / flight-delays
  Transfer learning for flight-delay prediction via variational autoencoders in Keras
  ☆34Updated 8 years ago
• benhamner / crowdflower-airline-twitter-sentiment
  ☆13Updated 9 years ago
• OliverEdholm / Stock-Market-Probabilities-Deep-Learning
  Tries to predict if a stock will rise or fall with a certain percentage through giving probabilities of what events it thinks will happen…
  ☆25Updated 7 years ago
• NawfalTachfine / PredictionAPI
  Tutorial on deploying machine learning models to production
  ☆59Updated 5 years ago
• victorneo / Twitter-Sentimental-Analysis
  ☆65Updated 5 years ago
• adeshpande3 / NLP-Stuff
  Programs with word vectors, RNN, NLP stuff, etc
  ☆18Updated 8 years ago
• kevindewalt / ai-notebooks
  ☆63Updated 7 years ago
• thismlguy / Kaggle
  Containing codes of participation in Kaggle competitions.
  ☆37Updated 9 years ago
• sookinoby / sentiment-analysis2
  Sentiment ananlysis in keras and mxnet
  ☆35Updated 7 years ago
• Shuailong / StockPrediction
  An attempt to use financial news to predict stock market
  ☆15Updated 6 years ago
• bpjsincl / coursera-neural-net
  Assignments for Geoffrey Hinton's Neural Net Course on Coursera, translated from (gross)Matlab into (beautiful)Python.
  ☆41Updated 9 years ago
• marsbroshok / tensorflow-rnn-events-prediction
  Tensorflow Recurrent Neural Network (RNN) model to analyse Time Series in GDELT News dataset to predict future events.
  ☆30Updated 8 years ago
• mattmurray / topic_modelling_financial_news
  Topic modelling on financial news with Natural Language Processing
  ☆59Updated 7 years ago