Deceptive consumer review detection: a survey

dc.contributor.authorVidanagama, DU
dc.contributor.authorSilva, TP
dc.contributor.authorKarunananda, AS
dc.date.accessioned2023-02-22T07:26:58Z
dc.date.available2023-02-22T07:26:58Z
dc.date.issued2020
dc.description.abstractOne of the key decisions made during initial stages of chemical plant design and development is the chemical route selection. A chemical route is considered as the raw material(s) and the sequence of reaction steps that convert them to the desired chemical product. The selection of a chemical route focused on environmental, health and safety (EHS) issues has been given increased attention recently as avoiding hazards related to EHS can be largely achieved during initial stages of plant development. In order to select a route, alternate potential chemical routes need to be assessed and compared. In this work a fuzzy based inherent environmental, health and safety hazard index called EHS-Fuzzy Index is presented to compare chemical routes based on integrated EHS hazards due to accidental releases as well as releases from daily operational activities of the plant. Thirteen parameters representing EHS related hazards are included in the EHS-Fuzzy Index. The lower the EHS-Fuzzy Index the more environmentally friendly, occupationally healthy and safer the chemical route. The EHS-Fuzzy Index was applied in a case of six routes to manufacture methyl methacrylate (MMA). The least hazard was shown in tertiary butyl alcohol (TBA) route.en_US
dc.identifier.citationVidanagama, D. U., Silva, T. P., & Karunananda, A. S. (2020). Deceptive consumer review detection: A survey. Artificial Intelligence Review, 53(2), 1323–1352. https://doi.org/10.1007/s10462-019-09697-5en_US
dc.identifier.databaseTaylor & Francis Onlineen_US
dc.identifier.doi10.1007/s10462-019-09697-5en_US
dc.identifier.issn1573-7462en_US
dc.identifier.issue2en_US
dc.identifier.journalArtificial Intelligence Reviewen_US
dc.identifier.pgnos1323-1352en_US
dc.identifier.urihttp://dl.lib.uom.lk/handle/123/20592
dc.identifier.volume53en_US
dc.identifier.year2020en_US
dc.language.isoen_USen_US
dc.publisherTaylor and Francisen_US
dc.subjectUser reviewsen_US
dc.subjectReview detection methodologiesen_US
dc.subjectDeceptive review detectionen_US
dc.subjectComparative evaluationen_US
dc.titleDeceptive consumer review detection: a surveyen_US
dc.typeArticle-Full-texten_US

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