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Opinion Mining for Extraction of Opinion Word and Opinion Target Using Modified Word Alignment Joint Aspect and Sentiment Model

机译:基于改进的词对齐联合方面和情感模型的观点词和观点目标的观点挖掘

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摘要

Data mining is a technique of collecting, searching through, and analyzing a huge amount of data stored in a database, as to determine patterns or relationships. Sequences of challenges have emerged in data mining and in that one of the major challenges is opinion mining. Opinion mining is the field of study which works with people appraisals, opinions, sentiments and emotion towards the entities such as products, services. The main aim is to gather the opinion regarding the products from the online review websites. A real online review from different domains is selected as the evaluation datasets. This method is compared with several state-of-the-art methods on opinion target/word extraction. It is assumed that all nounsoun phrases in sentences are opinion target candidates and all adjectives/verbs are considered as potential opinion words, which are generally adopted by earlier methods.
机译:数据挖掘是一种收集,搜索和分析数据库中存储的大量数据以确定模式或关系的技术。数据挖掘中出现了一系列挑战,而主要挑战之一就是观点挖掘。意见挖掘是一个研究领域,涉及人们对诸如产品,服务等实体的评价,观点,情感和情感。主要目的是从在线评论网站上收集有关产品的意见。选择来自不同领域的真实在线评论作为评估数据集。将该方法与意见目标/单词提取方面的几种最新方法进行了比较。假定句子中的所有名词/名词短语都是舆论目标候选者,并且所有形容词/动词都被视为潜在的舆论词,通常被较早的方法采用。

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