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Construction of an Evaluation Corpus for Opinion Extraction (2005)
| Venue: | NTCIR |
| Citations: | 14 - 6 self |
BibTeX
@ARTICLE{Ku05constructionof,
author = {Lun-wei Ku and Tung-ho Wu and Li-ying Lee and Hsin-hsi Chen},
title = {Construction of an Evaluation Corpus for Opinion Extraction},
journal = {NTCIR},
year = {2005},
pages = {513--520}
}
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Abstract
Opinion retrieval aims to tell if a document is positive, neutral or negative on a given topic. Opinion extraction further identifies the document’s supportive and the non-supportive evidence. This paper defines the annotation of opinionated material. The algorithm employs opinion holders, a topic’s conceptual words, sentiment words, opinion operators, and negation operators to recognize opinions. An opinion extraction system is developed and then reflects the major views of selected information sources. The text-based evidence extracted is ready for opinion summarization and opinionated question answering.
Keyphrases
opinion extraction evaluation corpus opinionated material major view opinion operator negation operator sentiment word document supportive opinion extraction system opinion holder opinionated question answering non-supportive evidence topic conceptual word information source opinion retrieval aim text-based evidence opinion summarization
