Easy-to-use and powerful LLM and SLM library with awesome model zoo.
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Updated
Jun 24, 2025 - Python
Easy-to-use and powerful LLM and SLM library with awesome model zoo.
Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis and visualization.
搜索所有中文NLP数据集,附常用英文NLP数据集
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
Stock market analyzer and predictor using Elasticsearch, Twitter, News headlines and Python natural language processing and sentiment analysis
🐗 🐻 Deep Learning based Python Library for Stock Market Prediction and Modelling
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.
Sentiment analysis on tweets using Naive Bayes, SVM, CNN, LSTM, etc.
State-of-the-art deep learning model for analyzing sentiment, emotion, sarcasm etc.
This repo contains implementation of different architectures for emotion recognition in conversations.
Dataset of Linus Torvalds' rants classified by negativity using sentiment analysis
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
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 .
My first Python repo with codes in Machine Learning, NLP and Deep Learning with Keras and Theano
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
Use NLP to predict stock price movement associated with news
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
Stock Market Prediction Web App based on Machine Learning and Sentiment Analysis of Tweets (API keys included in code). The front end of the Web App is based on Flask and Wordpress. The App forecasts stock prices of the next seven days for any given stock under NASDAQ or NSE as input by the user. Predictions are made using three algorithms: ARIM…
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