Sentiment Analysis

Simple, Pythonic text processing. Sentiment analysis, part-of-speech tagging, noun phrase parsing, and more.

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.

A Python SDK for Hume AI

A TextBlob sentiment analysis pipeline component for spaCy.

AFINN sentiment analysis

Aspect Based Sentiment Analysis: Transformer & Interpretability (TensorFlow)

A python package for flexible and transparent sentiment analysis.

Financial news sentiment analysis using LSTM

Algorithmically predict public sentiment on a topic using VADER sentiment analysis

Baselines for Multilingual Sentiment Analysis

A simple NLP toolkit with functions for plural words, text splitting, stemming, lemmatizing, stop word removal, sentence tokenization, edit distance calculation, n-gram models, bigram probability calculation, Kneser-Ney smoothing, sentiment analysis, text chunking, POS tagging, HMM POS tagging, Named Entity Recognition, Markov Chains, Thematic Role Labeling, PropBank lookup, FrameNet lookup, relation extraction, relation classification, and method listing

Sentiment Analysis in Python using a Dictionary Approach

A sentiment analysis platform with AI runner and trainer components

A simple wrapper for the Alternative.me Crypto Fear and Greed Index API

Production-ready AI agent framework with comprehensive testing, intelligent caching, connection pooling, unified interfaces, 36+ tools, and enterprise-grade security - 30-50% cost savings through smart optimization

Chinese text analysis library, which can perform word frequency statistics, dictionary expansion, sentiment analysis, similarity, readability, co-occurrence analysis, social computing (attitude, prejudice, culture) on texts; Now support Ollama(LLM) analysis

AI-Powered Stock Sentiment and Trend Analysis SDK

sentiment analysis using spacy pipelines

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.

Sentiment analysis for sentences in spanish

Target Dependent Sentiment Analysis (TDSA) framework.

Unraveling Corporate and CEO Reputation using Aspect-Based Sentiment Analysis and Signal Modeling

Sentiment analysis, embeddings, summarization wrappers. AI text processing. Perfect for AI agents and LLM applications.

Dictionary based Sentiment Analysis for Japanese language

An automatic sentiment analysis pakage

A Comprehensive Persian (Farsi) Natural Language Processing Library

Data science gear: Python API for advanced machine learning algorithms built on top of sklearn, tensorflow and keras

Lettria official SDK for python

Sentiment analysis library for russian language

A python package for sentiment analysis and emotion recognition in italian

Advanced financial sentiment analysis tool with policy impact assessment

Automated NLP tools. Plug N Play.

中文情感分析库(Chinese Sentiment))可对文本进行情绪分析、正负情感分析。

Pashto Natural Language Processing Toolkit

Document level Attitude and Relation Extraction toolkit (AREkit) for sampling and prompting mass-media news into datasets for ML-model training

Idiomatic, type-safe Python client for the Pulse REST API

🚀 Advanced Google Play Store Scraper - Extract 65+ app fields, reviews, ratings, ASO data, developer info, top charts, search results with 7 HTTP clients & unlimited pagination support

VIBE-X Protocol: Vector-Integrated Binary Extension for emotional and contextual metadata encoding.

A sentiment analysis server implementation. Designed to be extensible, so new algorithms and sources can be used.

PoC for scraping Yahoo News with sentiment analysis

A Python library for sentiment analysis of various tickers from the latest news by trusted sources, and tools to plot results.

A lightweight and efficient library for transforming emoticons into their semantic meanings with sentiment analysis capabilities

A framework for multi-agent modeling using large language models

A simple NLP toolkit with functions for plural words, text splitting, stemming, lemmatizing, stop word removal, sentence tokenization, edit distance calculation, n-gram models, bigram probability calculation, Kneser-Ney smoothing, sentiment analysis, text chunking, POS tagging, HMM POS tagging, Named Entity Recognition, Markov Chains, Thematic Role Labeling, PropBank lookup, FrameNet lookup, relation extraction, relation classification, and method listing

VADER Sentiment Analysis. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based sentiment analysis tool that is specifically attuned to sentiments expressed in social media, and works well on texts from other domains.

LeIA (Léxico para Inferência Adaptada) é um fork do léxico e ferramenta para análise de sentimentos VADER (Valence Aware Dictionary and sEntiment Reasoner) adaptado para textos em português.

Investigations in financial sentiment analysis

Python package which to access the Twitter database without API

AYNLP: A lightweight NLP toolkit built by Ankit and Yash for tokenization, stemming, lemmatization, and more. Visit https://github.com/aijadugar/AYNLP to explore the project.