Welcome to Senpy’s documentation! — Senpy documentation
Senpy is a framework for building sentiment and emotion analysis services, offering tools and tutorials for AI developers and researchers.
Build sentiment analysis services with ease
Senpy is a specialized framework designed for creating sentiment and emotion analysis services. If you're interested in working with AI to interpret emotions or opinions in text, this platform provides the tools and guidance you need. The documentation walks you through its core features, from available APIs to vocabularies and practical tutorials.
Whether you're a developer aiming to integrate emotional intelligence into your applications or a researcher exploring text analysis, Senpy makes the process more accessible. The site offers clear guidance on developing new services and customizing the framework to fit your needs, making it a helpful starting point for AI-driven sentiment analysis projects.
Discover websites similar to Senpy.readthedocs.io. Optimized for ultra-fast loading.
Ray is an open source platform to build, scale, and manage machine learning and Python applications with easy-to-use tools and libraries.
Run advanced AI models and language agents locally on your own hardware with this open-source platform—no cloud or external service required.
Spring offers tools and guides to help you build, deploy, and scale Java applications, including AI integration, microservices, and cloud support.
spaCy is a free, open-source Python library for natural language processing, offering tools like NER, POS tagging, and parsing for real-world projects.
Streamlit lets you quickly build and share interactive Python apps for data science and machine learning, making it easy to turn code into data tools.
Keras offers user-friendly tools and guides for building deep learning models, making machine learning accessible and efficient for developers of all levels.
Explore Qwen, a platform for advanced large language models and AI tools, offering chat demos and resources for developers and AI enthusiasts.
Weaviate is an AI-native database platform that helps developers build smarter, faster search and data apps with advanced vector and keyword capabilities.
SingularityNET is a decentralized platform where you can create, share, and monetize AI services using cryptocurrency across multiple blockchains.
Netty is a Java framework for building fast, maintainable network servers and clients using an asynchronous, event-driven model.
Open source platform to build and run machine learning models with JavaScript in browsers and Node.js.
Chainer offers a flexible, intuitive platform for building and training neural networks, making it easy to develop and experiment with deep learning models.
Explore Gymnasium's Python API and reference environments for building, testing, and benchmarking reinforcement learning algorithms in one place.
LangChain helps you build applications using large language models, offering tools, guides, and integrations for streamlined AI development.
PyG is a Python library for building and training graph neural networks, offering tools, tutorials, and a community for developers and researchers.
Metaflow is an open-source framework that helps you easily build, manage, and scale real-life machine learning and data science projects.
Apache Jena is a free, open source Java framework for building Semantic Web and Linked Data applications, supporting RDF, SPARQL, and more.
AI 클라우드 플랫폼에서 다양한 AI 모델을 원클릭으로 실행하고, 최신 AI 소식과 활용법을 영상과 함께 쉽게 배울 수 있습니다. (한국어 서비스)
OpenAI offers advanced AI tools like ChatGPT and APIs for developers, businesses, and individuals to create, explore, and interact with artificial intelligence.
Evidently AI helps you test and monitor AI models, LLMs, and workflows to ensure safety, reliability, and performance before deploying to production.
Discover tools and services similar to senpy.readthedocs.io
Explore related tools and services in these categories