This is the Windows app named TextTeaser whose latest release can be downloaded as textteasersourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
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TextTeaser
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DESCRIPTION
textteaser is an automatic text summarization algorithm implemented in Python. It extracts the most important sentences from an article to generate concise summaries that retain the core meaning of the original text. The algorithm uses features such as sentence length, keyword frequency, and position within the document to determine which sentences are most relevant. By combining these features with a simple scoring mechanism, it produces summaries that are both readable and informative. Originally inspired by research and earlier implementations, textteaser provides a lightweight solution for summarization without requiring heavy machine learning models. It is particularly useful for developers, researchers, or content platforms seeking a simple, rule-based approach to article summarization.
Features
- Automatic text summarization through sentence extraction
- Uses features like length, keyword frequency, and sentence position
- Produces concise summaries while preserving key information
- Lightweight Python implementation for easy integration
- Does not require large datasets or training processes
- Useful for news articles, documents, and other textual content
Programming Language
Scala
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/textteaser.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
