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https://dl.ucsc.cmb.ac.lk/jspui/handle/123456789/4695| Title: | Aspect Based Sentiment Analysis on Travel Review Rating Prediction |
| Authors: | De Silva, S.N. |
| Issue Date: | 22-Jun-2023 |
| Abstract: | Online reviewsplayanintegralroleintheprocessofdecisionmakingamongthe consumers ofaproductorservice.Inthetravelandtourismindustrytravellerreviews and ratingsmakeasignificantimpactonthechoicesmadebytravellers.Existing rating systemsaredesignedtocollectoverallratingandplain-textreview.Arating of aparticularaspectisagoodmetricfortheserviceprovidertoimprovetheservice and consumertofindtheperfectfitwithoutreadingthroughreviews.Thereforea systematic approachforpredictingarating,fordifferentaspectcategoriesinreviews havebeenidentifiedasaneed.Thisstudyaimstointroduceasystematicapproach to calculatetheaspectcategorybasedratingofcustomerreviewsintraveltourism domain. ThisstudyadaptsanovelapproachAspect-Category-Opinion-Sentiment (ACOS)QuadrupleExtraction,withtheaimtoextractallaspect-category-opinion- sentiment quadruplesinareviewsentencewhileconsideringimplicitaspectsand opinions andfinallycalculatetheaspectbasedratinginthetravelreviews.The experimentresultsdemonstratethatthismethodiseffectiveingeneratingtheaspect based ratingeventhoughasmallnumber(782)ofreviewsentenceshavebeenused. |
| URI: | https://dl.ucsc.cmb.ac.lk/jspui/handle/123456789/4695 |
| Appears in Collections: | 2022 |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 2019 BA 005.pdf | 619.82 kB | Adobe PDF | View/Open |
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