GOOGLE PLAYSTORE REVIEWS (NLP) PREDICTION USING ML.
Google Play Store, Google's app store, is being used by millions of people on a daily basis. It is intended to access, among other things, publications, games, music, movies, and even television. After installing apps, users can submit reviews in the app store to share their personal experiences wit...
| Publicado en: | Proteus Vol. 13; no. 10; pp. 12 - 35 |
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| Autores principales: | , , |
| Formato: | Artículo |
| Publicado: |
Proteus
Oct2022
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=160270472&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 160270472 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 08896348 THQ jtl: Proteus issn: 08896348 maglogo: N pubinfo: dt: Oct2022 vid: 13 iid: 10 pid: 73634 pub: Proteus artinfo: ui: 160270472 ppf: 12 ppct: 23 formats: fmt: @attributes: type: P size: 1.9MB tig: atl: GOOGLE PLAYSTORE REVIEWS (NLP) PREDICTION USING ML. aug: au: C., MsAbinaya S., Pavithra A., Elakiya affil: Assistant Professor, CSE, Agni College of Technology, Chennai, Tamil Nadu, India Student, B.E(CSE), Agni College of Technology, Chennai, Tamil Nadu, India su: Supervised learning Application stores Data scrubbing User experience sug: subj: Supervised learning Application stores Data scrubbing User experience ab: Google Play Store, Google's app store, is being used by millions of people on a daily basis. It is intended to access, among other things, publications, games, music, movies, and even television. After installing apps, users can submit reviews in the app store to share their personal experiences with others, and this works both ways, with one user being motivated by the ratings of others. The app's usability, performance, and, in rare cases, faults that users have faced while using it are usually explained by users' experiences. The goal is to use Supervised Machine Learning Techniques to classify Google app reviews (SMLT). The SMLT approaches are used to collect variable identification such as sentiments and sentiment polarity, as well as to create a dataset with these variables. It will then go through a series of stages, including data validation and cleaning, visualization, and classification into good, neutral, and negative sensations. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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