Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

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

Baidu's open-source Sentiment Analysis System.

Sentiment analysis on tweets using Naive Bayes, SVM, CNN, LSTM, etc.

A list of NLP(Natural Language Processing) tutorials

Transformers 库快速入门教程

Text classification using deep learning models in Pytorch

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

Implementations for a family of attention mechanisms, suitable for all kinds of natural language processing tasks and compatible with TensorFlow 2.0 and Keras.

Attention-based multimodal fusion for sentiment analysis

This repository contains the official release of the model "BanglaBERT" and associated downstream finetuning code and datasets introduced in the paper titled "BanglaBERT: Language Model Pretraining and Benchmarks for Low-Resource Language Understanding Evaluation in Bangla" accpeted in Findings of the Annual Conference of the North American Chap…

텐서플로우와 머신러닝으로 시작하는 자연어처리(로지스틱회귀부터 트랜스포머 챗봇까지)

Archived - not answering issues

LSTM and CNN sentiment analysis

My solution to the Natural Language Processing course made by Dan Jurafsky, Chris Manning in Winter 2012.

An implementation in TensorFlow of a convolutional neural network (CNN) to perform sentiment classification on tweets.

Keras Implementation of Aspect based Sentiment Analysis

Your Advanced Twitter stalking tool

Target-dependent sentiment classification in news articles reporting on political events. Includes a high-quality data set of over 11k sentences and a state-of-the-art classification model.

A paper list for aspect based sentiment analysis.