Opinion Summarization

In this paper we present an opinion summari- zation technique in spoken dialogue systems. Opinion mining has been well studied for years, but very few have considered its appli- cation …...

This paper presents a pilot study of opinion summarization on conversations. We create a corpus containing extractive and abstrac- tive summaries of speaker’s opinion towards a given topic using 88 …...

Opinion summarization is the task of pro- ducing the summary of a text, such that the summary also preserves the sentiment of the text. Opinion Summarization is thus a trade-off …...

AbstractOpinion summarization is the automatic creation of text reflecting subjective information expressed in multiple documents, such as user reviews of a product. The task is practically important and has attracted …...

AbstractWe present OpinionDigest, an abstractive opinion summarization framework, which does not rely on gold-standard summaries for training. The framework uses an Aspect-based Sentiment Analysis model to extract opinion phrases from …...

AbstractOpinion summarization is the task of automatically creating summaries that reflect subjective information expressed in multiple documents, such as product reviews. While the majority of previous work has focused on …...

AbstractOpinion summarization is the task of automatically generating summaries for a set of reviews about a specific target (e.g., a movie or a product). Since the number of reviews for …...

AbstractRecently, opinion summarization, which is the generation of a summary from multiple reviews, has been conducted in a self-supervised manner by considering a sampled review as a pseudo summary. However, …...

AbstractOpinion summarization focuses on generating summaries that reflect popular subjective information expressed in multiple online reviews. While generated summaries offer general and concise information about a particular hotel or product, …...

AbstractOpinion summarization of multiple reviews suffers from the lack of reference summaries for training. Most previous approaches construct multiple reviews and their summary based on textual similarities between reviews,resulting in …...

AbstractOpinion summarization is the task of automatically generating summaries that encapsulate information expressed in multiple user reviews. We present Semantic Autoencoder (SemAE) to perform extractive opinion summarization in an unsupervised …...