opinosis

Opinosis Opinion & Text Summarization Library

The Opinosis Summarizer Software is a text 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.

Sample Summaries: Humans, Opinosis, MEAD

These are some sample results from the Opinosis Summarization test set. The goal of Opinosis [1] is to generate short abstractive summaries that can summarize the main idea while maintaining readability. If you want to generate your own summaries,  you can download the demo version of the Opinosis Summarizer.

Note: In the table below, you will see multiple human composed summaries for one topic. This is actually composed by different people.


References

Opinosis Dataset - Topic related review sentences

Dataset Type: Text
Format: Topic oriented opinion sentences for 51 different topics
Domain: hotels, cars, products
Source: Amazon.com, TripAdvisor.com, Edmunds.com

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

Opinosis: A Graph Based Approach to Abstractive Summarization of Highly Redundant Opinions, Ganesan, Kavita A., Zhai ChengXiang, and Han Jiawei , Proceedings of the 23rd International Conference on Computational Linguistics (COLING '10), (2010)

Abstract

We present a novel graph-based summarization framework (Opinosis) that generates concise abstractive summaries of highly redundant opinions. Evaluation results on summarizing user reviews show that Opinosis summaries have better agreement with human summaries compared to the baseline extractive method. The summaries are readable, reasonably well-formed and are informative enough to convey the major opinions.

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