#Sentiment-classification
Showing 14 of 14 repositories tagged #sentiment-classification, ranked by stars
Sentiment analysis on tweets using Naive Bayes, SVM, CNN, LSTM, etc.
텐서플로우와 머신러닝으로 시작하는 자연어처리(로지스틱회귀부터 트랜스포머 챗봇까지)
[数据+代码] 经典的中文情感词典、情感分析停用词、程度副词、否定词表+中文金融情感词典（包括上市公司文本_正式和股吧社媒文本_非正式）...
ConText v4: Neural networks for text categorization
An example project using a feed-forward neural network for text sentiment classification trained with 25,000 movie reviews from the IMDB website.
🎤 Lyrics/associated NLP data for Billboard's Top 100, 1950-2015.
【仅作为交流学习使用】机器智能--相关书目及经典论文包括AutoML、情感分类、语音识别、声纹识别、语音合成实验代码等
📲 Transformers android examples (Tensorflow Lite & Pytorch Mobile)
Augmento sentiment data quickstart and research
Sentiment Analysis: Deep Bi-LSTM+attention model
Interpretable and efficient predictors using pre-trained language models. Scikit-learn compatible.
Using Natural Language Processing we developed working prototype of Sentiment analyser of NEWS
Statistical Analysis on E-Commerce Reviews, with Sentiment Classification using Bidirectional Recurrent Neural Network (RNN)
MER is a software that identifies and highlights manipulative communication in text from human conversations and AI-generated responses. MER can evaluate LLM responses for manipulative expressions, fostering development of transparency and safety in AI. It also supports manipulation victims by detecting manipulative patterns in human communication.