666ghj/BettaFish
微舆:人人可用的多Agent舆情分析助手,打破信息茧房,还原舆情原貌,预测未来走向,辅助决策!从0实现,不依赖任何框架。
15,845 repositories
微舆:人人可用的多Agent舆情分析助手,打破信息茧房,还原舆情原貌,预测未来走向,辅助决策!从0实现,不依赖任何框架。
FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.
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.
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.
搜索所有中文NLP数据集,附常用英文NLP数据集
State of the Art Natural Language Processing
Rust native ready-to-use NLP pipelines and transformer-based models (BERT, DistilBERT, GPT2,...)
AFINN-based sentiment analysis for Node.js.
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
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 BER
:boar: :bear: 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.
Dataset of Linus Torvalds' rants classified by negativity using 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.
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.
FinnewsHunter: Multi-agent financial intelligence platform powered by AgenticX. Real-time news analysis, sentiment fusion, and alpha factor mining.
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 .
Developer friendly Natural Language Processing ✨
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
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
My first Python repo with codes in Machine Learning, NLP and Deep Learning with Keras and Theano
A list of Twitter datasets and related resources.
MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversation