TextRank
A Go implementation of the TextRank algorithm for automatic text summarization, phrase extraction, and keyword ranking with multithreading support.
What is TextRank?
TextRank on Go is a Go library that implements the TextRank algorithm for automatic text summarization and keyword extraction. It analyzes text to identify important phrases, words, and sentences by modeling relationships between textual units as a graph and ranking them based on co-occurrence and connectivity. The library solves the problem of distilling key information from large texts programmatically.
Go developers and data scientists working on natural language processing tasks such as document summarization, content analysis, and keyword extraction for applications like search engines, content curation, or research tools.
Developers choose TextRank on Go for its native Go implementation, which offers performance through multithreading (goroutines), extensibility via customizable algorithms and parsers, and simplicity with a well-documented API. It provides a lightweight, self-contained alternative to heavier NLP frameworks for specific text-ranking needs.
Overview
:wink: :cyclone: :strawberry: TextRank implementation in Golang with extendable features (summarization, phrase extraction) and multithreading (goroutine).
Use Cases
Best For
Related Projects
Found a gem we're missing?
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.
