一种基于规则的、独立于领域的意见和持有者识别方法

2013 IEEE 9th International Conference on Intelligent Computer Communication and Processing (ICCP) Pub Date : 2013-10-24 DOI:10.1109/ICCP.2013.6646081

Ioana Maria Sima, Mariana Vunvulea

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引用次数: 3

摘要

从文本中挖掘情感是当前信息检索系统中的一个重要问题。本文提出了一种从大型文本中提取意见和意见持有人的解决方案。我们的目标是通过实现基于规则的方法来实现高度的领域独立性。我们的系统的结果已经证明了与使用监督学习方法的系统相当的准确性，这是依赖于领域的。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A rule-based, domain independent approach for opinion and holder identification

Mining sentiments from text is currently an important problem in information retrieval systems. In this paper we propose a solution for extracting opinions and opinion holders from large texts. Our goal is to achieve a high level of domain independence by implementing a rule-based approach. The results of our system have proven an accuracy which is comparable to that of systems that use a supervised learning approach, which is domain dependent.

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来源期刊

2013 IEEE 9th International Conference on Intelligent Computer Communication and Processing (ICCP)

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