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Showing 1 to 7 of 7 for “"Opinion Summarization"”.
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General unsupervised explanatory opinion mining from text data
Due to the abundance and rapid growth of opinionated data on the Web, research on opinion mining and summarization techniques has received a lot of attention from industry and academia. Most previous studies on opinion summarization have focused on predicting sentiments of entities and aspect-based …
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Generating comparative summaries of contradictory opinions in text
This thesis presents a study of a novel summarization problem called contrastive opinion summarization (COS). Given two sets of positively and negatively opinionated sentences which are often the output of an existing opinion summarizer, COS aims to extract comparable sentences from each set of …
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Unsupervised summarization of public talk radio
… compression" for neural unsupervised summarization of spoken opinion in conversational dialogue. By relying on an unsupervised framework that obviates the need for labeled data, the summarization task becomes largely agnostic to human input beyond necessary decisions regarding model …
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Opinion integration and summarization
… popular, more and more people express their opinions on the Web in various ways in real time. Such wide coverage of topics and abundance of users make the Web an extremely valuable source for mining people's opinions about all kinds of topics. However, since the opinions are usually expressed …
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Opinion driven decision support system
Opinions on the web present a wealth of information that can be leveraged in our day to day decision making tasks ranging from which product to purchase to which doctor to consult for a particular ailment. Due to the large volume of opinions available from different sources across web, digesting …
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Product Defect Discovery and Summarization from Online User Reviews
… target only the negative reviews. As a kind of opinion mining research, existing defect discovery methods mainly focus on how to classify the type of product issues, which is not enough for users. People expect to see defect information in multiple facets, such as product model, component, and …