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 TextBlob sentiment analysis pipeline component for spaCy.

A Python SDK for Hume AI

A python package for flexible and transparent sentiment analysis.

Aspect Based Sentiment Analysis: Transformer & Interpretability (TensorFlow)

A sentiment analysis platform with AI runner and trainer components

Algorithmically predict public sentiment on a topic using VADER sentiment analysis

AFINN sentiment analysis

Extract sections from PDFs and perform sentiment analysis

sentiment analysis using spacy pipelines

Lettria official SDK for python

Sentiment analysis for sentences in spanish

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

A python package for sentiment analysis and emotion recognition in italian

Sentiment analysis library for russian language

Baselines for Multilingual Sentiment Analysis

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.

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

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

Target Dependent Sentiment Analysis (TDSA) framework.

A MCP server for news search and sentiment analysis

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。

A powerful API that aggregates financial news and provides comprehensive market sentiment analysis

Sentiment Analysis in Python using a Dictionary Approach

Python package which to access the Twitter database without API

Dictionary based Sentiment Analysis for Japanese

An off-the-rack NLP sentiment classifier- upload your own corpus or use the pre-installed ones

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

An automatic sentiment analysis pakage

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.

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

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

Automated NLP tools. Plug N Play.

Tools for collecting , processing and analyzing twitter data

Investigations in financial sentiment analysis

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.

Analyze Reddit comments for PII and other sensitive information using local or OpenAI API compatible LLMs and perform sentiment analysis, edit and remove comments.

PoC for scraping Yahoo News with sentiment analysis

gsitk is a library on top of scikit-learn that eases the development process on NLP machine learning driven projects.

BSI Tool for Sentiment Analysis

A Danish sentiment analysis using scikit-learn

An MCP server that delivers cryptocurrency sentiment analysis to AI agents.

The official Python client for Gurunudi AI API

Traditional Chinese sentiment analysis tool based on BERT.

Pashto Natural Language Processing Toolkit

Sentiment Analysis is a simple tool for analyzing the sentiment of a text. It returns the sentiment score and the sentiment label.

Emotion("fear", "anger", "surprise", "sadness", "disgust", "joy") and Sentiment("Positive","Negative","Neutral") Analysis