bfelbo/DeepMoji
State-of-the-art deep learning model for analyzing sentiment, emotion, sarcasm etc.
An implementation in TensorFlow of a convolutional neural network (CNN) to perform sentiment classification on tweets.
$ git clone https://github.com/danielegrattarola/twitter-sentiment-cnn.gitState-of-the-art deep learning model for analyzing sentiment, emotion, sarcasm etc.
This project's aim, is to explore the world of Natural Language Processing (NLP) by building what is known as a Sentiment Analysis Model. We will be implementing and comparing both a Naïve Bayes and a Deep Learning LSTM model.
Convolutional Neural Networks for Sentence Classification(TextCNN) implements by TensorFlow
Text Classification by Convolutional Neural Network in Keras
This script can tell you the sentiments of people regarding to any events happening in the world by analyzing tweets related to that event
Text classification with Convolution Neural Networks on Yelp, IMDB & sentence polarity dataset v1.0
Data from GitHub · snapshot Nov 13, 2026