{"title":"Aspect Detection Enhancement for Aspect Based Sentiment Analysis","authors":"Adelica Ndoni, Ivana Ilic Mestric, Michael Street","doi":"10.1109/ICMCIS52405.2021.9486404","DOIUrl":null,"url":null,"abstract":"This paper proposes a new approach to aspect-based sentiment analysis to provide a more accurate insight about sentiment towards certain aspects relevant for the military environment. The goal of this paper is to obtain an assessment of different approaches to aspect detection applicable to NATO specific corpora.","PeriodicalId":246290,"journal":{"name":"2021 International Conference on Military Communication and Information Systems (ICMCIS)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 International Conference on Military Communication and Information Systems (ICMCIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICMCIS52405.2021.9486404","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This paper proposes a new approach to aspect-based sentiment analysis to provide a more accurate insight about sentiment towards certain aspects relevant for the military environment. The goal of this paper is to obtain an assessment of different approaches to aspect detection applicable to NATO specific corpora.
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