文章基本信息

标题：Opinion Mining for Extraction of Opinion Word and Opinion Target Using Modified Word Alignment Joint Aspect and Sentiment Model
本地全文：下载
作者：Anette Regina ; P.Sengottuvelan
期刊名称：International Journal on Computer Science and Engineering
印刷版ISSN：2229-5631
电子版ISSN：0975-3397
出版年度：2017
卷号：9
期号：11
页码：623-629
出版社：Engg Journals Publications
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 nouns/noun phrases in sentences are opinion target candidates and all adjectives/verbs are considered as potential opinion words, which are generally adopted by earlier methods.
关键词：Data Mining; Modified Word Alignment; Opinion Targets; Joint Aspect and Sentimental model