opinosis

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.

Opinosis Textual Opinion Summarization Library (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.

Sample Summaries: Humans, Opinosis, MEAD

These are some sample results from the Opinosis Summarization test set. The goal of Opinosis 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.

Opinosis Dataset - Topic related review sentences

Dataset Type: Text
Format: Topic oriented opinion sentences for 51 different topics
Domain: hotels, cars, products
How to cite dataset: [ bib

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.