There are 125 repositories under sentiment-analysis topic.
👑 Easy-to-use and powerful NLP library with 🤗 Awesome model zoo, supporting wide-range of NLP tasks from research to industrial applications, including 🗂Text Classification, 🔍 Neural Search, ❓ Question Answering, ℹ️ Information Extraction, 📄 Document Intelligence, 💌 Sentiment Analysis and 🖼 Diffusion AIGC system etc.
Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis and visualization.
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
搜索所有中文NLP数据集,附常用英文NLP数据集
AFINN-based sentiment analysis for Node.js.
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.
文本挖掘和预处理工具(文本清洗、新词发现、情感分析、实体识别链接、关键词抽取、知识抽取、句法分析等),无监督或弱监督方法
:boar: :bear: Deep Learning based Python Library for Stock Market Prediction and Modelling
Rust native ready-to-use NLP pipelines and transformer-based models (BERT, DistilBERT, GPT2,...)
Aspect Based Sentiment Analysis, PyTorch Implementations. 基于方面的情感分析,使用PyTorch实现。
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.
My first Python repo with codes in Machine Learning, NLP and Deep Learning with Keras and Theano
基于金融-司法领域(兼有闲聊性质)的聊天机器人,其中的主要模块有信息抽取、NLU、NLG、知识图谱等,并且利用Django整合了前端展示,目前已经封装了nlp和kg的restful接口
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
AI-related tutorials. Access any of them for free → https://towardsai.net/editorial
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)
😀😄😂😭 A curated list of Sentiment Analysis methods, implementations and misc. 😥😟😱😤
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 .
Data collection tool for social media analytics
A list of Twitter datasets and related resources.
Tensorflow implementation of attention mechanism for text classification tasks.
Dataset of Linus Torvalds' rants classified by negativity using sentiment analysis
Use NLP to predict stock price movement associated with news
1 line for thousands of State of The Art NLP models in hundreds of languages The fastest and most accurate way to solve text problems.
MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversation