bfelbo/DeepMoji
State-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.
$ git clone https://github.com/JosephAssaker/Twitter-Sentiment-Analysis-Classical-Approach-VS-Deep-Learning.gitState-of-the-art deep learning model for analyzing sentiment, emotion, sarcasm etc.
用MLP、TextCNN、RNN、LSTM、GRU、Attention、RCNN、BERT做文本分类、情感分析,对比各模型于温泉旅游评论垂类语料下在情感分类任务上的表现
Attention-based multimodal fusion for sentiment analysis
This repository consists of all my NLP Projects
A paper list for aspect based sentiment analysis.
中文的情感分析任务:基于Bi-LSTM+Attention模型,对2万条中文影评数据进行情感分类。Chinese sentiment analysis task: Based on the Bi-LSTM+Attention model, sentiment classification is performed on 20,000 Chinese film review data.
Data from GitHub · snapshot Sep 24, 2026