Natural Language Processing Tutorial for Deep Learning Researchers

Repository with all what is necessary for sentiment analysis and related areas

IARM: Inter-Aspect Relation Modeling with Memory Networks in Aspect-Based Sentiment Analysis, EMNLP 2018

Mxnet implementation of an ICLR 2018 paper: A new method of region embedding for text classification.

Aspect Based Sentiment Analysis, PyTorch Implementations. 基于方面的情感分析，使用PyTorch实现。

Pre-trained ELMo Representations for Many Languages

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines of code.

all kinds of text classificaiton models and more with deep learning

🔮Getting started with TensorFlow: Classifying Text with Neural Networks

上手教程

Text classification (specifically for Sentiment Analysis) using Deep Learning

Deep-learning by using TensorFlow. Basic nns like Logistic, CNN, RNN, LSTM and some examples are implemented by complex model.

aspect level sentiment analysis

Tensorflow Implementation of Densely Connected Bidirectional LSTM with Applications to Sentence Classification