Sentimatrix
Advanced Sentiment Analysis Toolkit with Multi-Provider LLM Support
A production-ready Python package for comprehensive sentiment analysis featuring support for 19 LLM providers, intelligent web scraping across major platforms, and multi-modal analysis capabilities. From emotion detection to visual analytics, Sentimatrix provides enterprise-grade tools for understanding consumer sentiment at scale.
First Place Winner - INNOTHAN'24
Prize Amount: ₹25,000 | Recognition for innovative sentiment analysis platform
2023 - 2024
Core development and initial PyPI release
2024 - 2026
Multi-provider LLM integration and platform scrapers
Current: v0.2.2
Active development with regular feature updates
Siddharth Magesh
Lead Developer
Pranesh Kumar
Backend Engineer
Arjun VL
AI Integration
Yasir
Scraping Systems
Sriram
Frontend
Waatson
Testing & QA
Sentimatrix began as a college project and evolved into a production-ready PyPI package with extensive documentation. The toolkit enables developers and researchers to perform sophisticated sentiment analysis across multiple modalities—text, images, and audio. With support for 19 LLM providers including OpenAI, Anthropic, Google Gemini, Groq, and local models via Ollama/vLLM, users can leverage the best models for their specific use cases. The integrated scraping engine autonomously collects reviews from Amazon, Steam, YouTube, Reddit, and IMDB, while commercial API integrations provide enterprise-grade data collection capabilities.
Core Capabilities
OpenAI, Anthropic, Google Gemini, Groq, Ollama, vLLM, and 13 more providers for flexible model selection
Built-in scrapers for Amazon, Steam, YouTube, Reddit, IMDB plus commercial API integrations
28-emotion GoEmotions taxonomy or simplified 6-emotion classification for nuanced sentiment understanding
Process text, images, and audio content with specialized models for each modality
Generate scoreboards, trend graphs, heatmaps, and comprehensive HTML/Excel reports
Aggregate statistics across large datasets with optimized concurrent processing pipelines
Python Module
Import directly into data science workflows for programmatic sentiment analysis
REST API
Integration-ready endpoints for embedding sentiment analysis into applications
Web Dashboard
Visual interface for business teams requiring point-and-click analysis
Conversational Chatbot
Natural language queries for quick insights without technical expertise
Custom Pipelines
Chain scraping, analysis, and reporting workflows
Product Intelligence
Competitor comparison and market positioning
Feedback Heatmaps
Visual sentiment distribution across categories
Influencer Insights
Content performance tracking and optimization
Real-time Monitoring
Live sentiment tracking with alerting
Sentimatrix Studio
Cloud-based extension for team collaboration
Technology Stack
Future Roadmap
Enhanced integration with emerging web-integrated AI tools
Expansion of Sentimatrix Studio cloud-based capabilities
Open-source contributions to foster collaborative ecosystem
Enterprise licensing and support tiers
Advanced agentic scraping engine improvements
Enhanced plug-and-play architecture for flexible integration
Expanded support for regional sociolinguistic sentiment trends
GPU-accelerated batch processing for large-scale analysis