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Opinosis: A Graph Based Approach to Abstractive Summarization of Highly Redundant Opinions

Opinosis: A Graph Based Approach to Abstractive Summarization of Highly Redundant Opinions

The Opinosis Summarization framework focuses on generating very short abstractive summaries from large amounts of text. These summaries can resemble micropinions or “micro-reviews” that you see on sites like twitter and four squares. The idea of the algorithm is to use a word graph data structure referred to as the Opinosis-Graph to represent the text to be summarized. Then, the resulting graph is repeatedly explored to find meaningful paths which in turn becomes candidate summary phrases.

Opinosis Text Summarization Web API

Opinosis Text Summarization Web API

The Opinosis REST API is available to all academic researchers. You can use a command line tool like cURL to access the API or you can also easily access the API from any programming language using HTTP request and response libraries. The nice thing with using the REST API version versus the Java jar file is that you can integrate the API into your code base, making evaluation and the ability to build on the API output much easier. Please…

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Opinosis Summarization Demo Software (Command Line Jar)

Opinosis Summarization Demo Software (Command Line Jar)

The Opinosis Summarizer Software is a demo version of a summarizer that generates concise abstractive summaries of highly redundant text. It  was primarily used to summarize opinions, and thus it can  be regarded as a opinion summarization software. However, since the underlying approach is general and  assumes no domain knowledge, with a few minor tweaks it can be used on any highly redundant text (e.g. twitter comments, comments on blog or news articles).  Note that this requires code changes. The…

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