期刊文献+
共找到1篇文章
< 1 >
每页显示 20 50 100
Aspect-Based Sentiment Analysis for Polarity Estimation of Customer Reviews on Twitter 被引量:1
1
作者 Ameen Banjar Zohair Ahmed +2 位作者 Ali Daud rabeeh ayaz abbasi Hussain Dawood 《Computers, Materials & Continua》 SCIE EI 2021年第5期2203-2225,共23页
Most consumers read online reviews written by different users before making purchase decisions,where each opinion expresses some sentiment.Therefore,sentiment analysis is currently a hot topic of research.In particula... Most consumers read online reviews written by different users before making purchase decisions,where each opinion expresses some sentiment.Therefore,sentiment analysis is currently a hot topic of research.In particular,aspect-based sentiment analysis concerns the exploration of emotions,opinions and facts that are expressed by people,usually in the form of polarity.It is crucial to consider polarity calculations and not simply categorize reviews as positive,negative,or neutral.Currently,the available lexicon-based method accuracy is affected by limited coverage.Several of the available polarity estimation techniques are too general and may not reect the aspect/topic in question if reviews contain a wide range of information about different topics.This paper presents a model for the polarity estimation of customer reviews using aspect-based sentiment analysis(ABSA-PER).ABSA-PER has three major phases:data preprocessing,aspect co-occurrence calculation(CAC)and polarity estimation.A multi-domain sentiment dataset,Twitter dataset,and trust pilot forum dataset(developed by us by dened judgement rules)are used to verify ABSA-PER.Experimental outcomes show that ABSA-PER achieves better accuracy,i.e.,85.7%accuracy for aspect extraction and 86.5%accuracy in terms of polarity estimation,than that of the baseline methods. 展开更多
关键词 Natural language processing sentiment analysis aspect co-occurrence calculation sentiment polarity customer reviews twitte
下载PDF
上一页 1 下一页 到第
使用帮助 返回顶部