使用pytorch， 基于textCNN以及BiLSTM进行中文情感分析、 文本分类

基于 Spark 的文本情感分类

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system that summarizes political sentiment given some tweets

Using Transfer Learning to train a CNN to classify sentiment in images between Positive versus Negative and Highly Positive versus Highly Negative. Python and Keras

Assignment 2 (Sentiment Classification with Deep Learning) for the course "Natural Language Processing 1" at the University of Amsterdam

Classifying text according to the expressed sentiment class.

Fine-tuning a BERT model for Sentiment Classification on the SMILE: Twitter Emotion Dataset

基于PyTorch的情感分类工具，通过Bert构建词向量，Bi-LSTM，Attention构建主要神经网络实现情感分类.

뉴럴네트워크 없이 감정분석

Sentiment Classification based on Sina News (Final project of NLP2020)

Kaggle竞赛题目"UMICH SI650 - Sentiment Classification" 两种LSTM 实现

project in school. Passive-Aggressive Algorithm, Language Modeling, and Winnow algorithm.

TextSentimentClassification

Trains an LSTM model on a dataset of 1.6 million tweets in order to classify them as "positive" or "negative".

Django Project to demo Sentiment Classification using: SVM, Naive Bayes, Xgboost, Decision Tree

Cornell University NPL Project 1

Movie Review Sentiment Analysis with Multinomial Naive Bayes classifier

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A sentiment classification project using machine learning techniques to analyze and classify text into positive or negative sentiment.

Classifies the sentiment of sentence

Classify Arabic and English Phrases as postive or negative by stars

Cross Lingual Sentiment Classification for Amazon Product Reviews

A twitter sentiment classification pipeline, generated sentiment score based on model trained on twitter140 dataset.

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sentimentClassification

sentiment classification from text input.

Programs for sentiment-classification ML models