There are 105 repositories under sentiment-analysis topic.
Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis and visualization.
Easy-to-use and powerful NLP library with Awesome model zoo, supporting wide-range of NLP tasks from research to industrial applications, including Neural Search, Question Answering, Information Extraction and Sentiment Analysis end-to-end system.
An NLP library for building bots, with entity extraction, sentiment analysis, automatic language identify, and so more
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
State of the Art Natural Language Processing
AFINN-based sentiment analysis for Node.js.
:boar: :bear: Deep Learning based Python Library for Stock Market Prediction and Modelling
Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.
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.
Stock market analyzer and predictor using Elasticsearch, Twitter, News headlines and Python natural language processing and sentiment analysis
Learn how to process, classify, cluster, summarize, understand syntax, semantics and sentiment of text data with the power of Python! This repository contains code and datasets used in my book, "Text Analytics with Python" published by Apress/Springer.
Sentiment analysis on tweets using Naive Bayes, SVM, CNN, LSTM, etc.
Python codes in Machine Learning, NLP, Deep Learning and Reinforcement Learning with Keras and Theano
Rust native ready-to-use NLP pipelines and transformer-based models (BERT, DistilBERT, GPT2,...)
This repo contains implementation of different architectures for emotion recognition in conversations.
Curated List: Practical Natural Language Processing done in Ruby
Sentiment Analysis with LSTMs in Tensorflow
xmnlp：提供中文分词, 词性标注, 命名体识别，情感分析，文本纠错，文本转拼音，文本摘要，偏旁部首，句子表征及文本相似度计算等功能
😀😄😂😭 A curated list of Sentiment Analysis methods, implementations and misc. 😥😟😱😤
Data collection tool for social media analytics
Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)
AI-related tutorials. Access any of them for free → https://towardsai.net/editorial
Tensorflow implementation of attention mechanism for text classification tasks.
Obsei is a low code AI powered automation tool. It can be used in various business flows like social listening, AI based alerting, brand image analysis, comparative study and more .
A list of Twitter datasets and related resources.
Use NLP to predict stock price movement associated with news
SentiBridge: A Knowledge Base for Entity-Sentiment Representation
Multi-label Classification with BERT; Fine Grained Sentiment Analysis from AI challenger
Social media (Weibo) comments analyzing toolbox in Chinese 微博评论分析工具, 实现功能: 1.微博评论数据爬取; 2.分词与关键词提取; 3.词云与词频统计; 4.情感分析; 5.主题聚类
MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversation