MCP server for trading signal analysis, position monitoring, market regime detection, and Trust Layer (B2AI credibility verification)
Unraveling Corporate and CEO Reputation using Aspect-Based Sentiment Analysis and Signal Modeling
Digital Emotion Equivalents -- detect, score, and produce emotional patterns in AI text
A simple wrapper for the Alternative.me Crypto Fear and Greed Index API
Target Dependent Sentiment Analysis (TDSA) framework.
A framework for multi-agent modeling using large language models
gsitk is a library on top of scikit-learn that eases the development process on NLP machine learning driven projects.
Traditional Chinese sentiment analysis tool based on BERT.
MCP-native technical analysis runtime — 8 core indicators, 2 composite signals, and the unique Polymarket Sentiment Divergence (PSD).
A Danish sentiment analysis using scikit-learn
An automatic sentiment analysis pakage
Aspect Based Sentiment Analysis: Transformer & Interpretability (TensorFlow)
Automated NLP tools. Plug N Play.
Python SDK for the FinSignals API — Reddit sentiment classification and sector rotation analysis
Classification of Job Offer Responses
Open-source Python library for intelligent harm detection and linguistic analysis in text
News title sentiment analysis
Text analysis and NLP MCP server — no NLTK, no spaCy, just results
Official Python SDK for Discourses — Era-calibrated financial sentiment analysis
Detect emotions in text.
Investigations in financial sentiment analysis
A simple tool for Vietnamese Sentiment Analysis
Lexical sentiment analysis pipeline for central bank and economic text data.
Extract sections from PDFs and perform sentiment analysis
Automated Bitcoin trading on Binance with AI-powered 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.
Real-time sentiment analysis for twitter.
AION Unified Sentiment Model for Indian Financial News - Multi-task transformer (95 events, 32 sectors, macro signal)
A library for market sentiment analysis of financial social media posts
Sentiment Analysis pipeline
A lightweight and efficient library for transforming emoticons into their semantic meanings with sentiment analysis capabilities
Utilities for dictionary-based sentiment analysis. Includes 28 sentiment dictionaries with loaders, scoring, and interactive visualization.
A Python SDK for interacting with the Sentor ML API for sentiment analysis
Advanced text similarity and classification using AI and Machine Learning
Python package which to access the Twitter database without API
MCP server and Python toolkit for Polymarket prediction markets: slippage estimation, liquidity scanning, arbitrage detection, price feeds, and sentiment analysis.
FamilyOS UltraBERT v4 - Multi-task NLP with GlobalPointer NER
Just A Simple Sentiment Analysis Tool for Chinese Text
Pashto Natural Language Processing Toolkit
Just A Simple Sentiment Analysis Tool for English
Perform sentiment analysis on text
Simple package to make data extraction from Typeform easier, analyze sentiment with AWS and calculate metrics with the data
ToneTint is a Python package that provides an intuitive way to perform sentiment analysis on text data and visualize the results. It splits the input text into manageable chunks, analyzes each chunk using a pre-trained sentiment analysis model, and highlights the text with background colors corresponding to the sentiment. Additionally, it displays tooltips with detailed sentiment scores when hovering over each text chunk.
Framework for Fine-tuning Transformers for Sentiment Analysis
Python client sdk to access GPT's AI-powered conversational functionality (without OpenAI API key nor VPN)