Matches in SemOpenAlex for { <https://semopenalex.org/work/W2949287791> ?p ?o ?g. }
- W2949287791 endingPage "403" @default.
- W2949287791 startingPage "393" @default.
- W2949287791 abstract "Abstract The popularity of online reviews is causing a huge impact on consumers’ purchase intentions for goods and services. However, and hidden by the anonymity of the Internet, fraudsters can try to manipulate other consumers by posting fake reviews. Maintaining trust in online reviews require the development of automatic tools using machine learning approaches because of the huge volume of online opinions generated every day. This paper is focused on the hospitality sector and follows a content analysis approach based on a set of unique attributes and the sentiment orientation of reviews. The main contributions of the paper are i) a set of polarity-oriented unique attributes able to distinguish positive and negative deceptive and non-deceptive reviews and ii) the main topics associated to positive and negative deceptive and non-deceptive reviews. Findings reveal that positive and negative unique attributes lead to non-biased classifiers and that experience based reviews tend to be non-deceptive." @default.
- W2949287791 created "2019-06-27" @default.
- W2949287791 creator A5003625612 @default.
- W2949287791 creator A5037962040 @default.
- W2949287791 date "2019-12-01" @default.
- W2949287791 modified "2023-10-17" @default.
- W2949287791 title "A machine learning approach for the identification of the deceptive reviews in the hospitality sector using unique attributes and sentiment orientation" @default.
- W2949287791 cites W1851422430 @default.
- W2949287791 cites W1966599906 @default.
- W2949287791 cites W1979504415 @default.
- W2949287791 cites W1994180792 @default.
- W2949287791 cites W2022467844 @default.
- W2949287791 cites W2037005781 @default.
- W2949287791 cites W2037299438 @default.
- W2949287791 cites W2044905471 @default.
- W2949287791 cites W2050776278 @default.
- W2949287791 cites W2061960468 @default.
- W2949287791 cites W2084103650 @default.
- W2949287791 cites W2098162425 @default.
- W2949287791 cites W2106358579 @default.
- W2949287791 cites W2114011738 @default.
- W2949287791 cites W2129940040 @default.
- W2949287791 cites W2140347740 @default.
- W2949287791 cites W2140910804 @default.
- W2949287791 cites W2151554678 @default.
- W2949287791 cites W2155681203 @default.
- W2949287791 cites W2168069066 @default.
- W2949287791 cites W2238075242 @default.
- W2949287791 cites W2286850974 @default.
- W2949287791 cites W2300796873 @default.
- W2949287791 cites W2313384944 @default.
- W2949287791 cites W2346265432 @default.
- W2949287791 cites W2407212869 @default.
- W2949287791 cites W2410465342 @default.
- W2949287791 cites W2471881951 @default.
- W2949287791 cites W2498232401 @default.
- W2949287791 cites W2528239278 @default.
- W2949287791 cites W2580175752 @default.
- W2949287791 cites W2583503161 @default.
- W2949287791 cites W2602655087 @default.
- W2949287791 cites W2603822349 @default.
- W2949287791 cites W2745964934 @default.
- W2949287791 cites W2781625500 @default.
- W2949287791 cites W2794855269 @default.
- W2949287791 cites W2807746941 @default.
- W2949287791 cites W2874226012 @default.
- W2949287791 cites W2893929634 @default.
- W2949287791 cites W2908649179 @default.
- W2949287791 cites W2908749328 @default.
- W2949287791 cites W2921404976 @default.
- W2949287791 cites W2941146420 @default.
- W2949287791 cites W3121845706 @default.
- W2949287791 cites W3122952517 @default.
- W2949287791 cites W3123091093 @default.
- W2949287791 cites W4229742094 @default.
- W2949287791 doi "https://doi.org/10.1016/j.tourman.2019.06.003" @default.
- W2949287791 hasPublicationYear "2019" @default.
- W2949287791 type Work @default.
- W2949287791 sameAs 2949287791 @default.
- W2949287791 citedByCount "66" @default.
- W2949287791 countsByYear W29492877912020 @default.
- W2949287791 countsByYear W29492877912021 @default.
- W2949287791 countsByYear W29492877912022 @default.
- W2949287791 countsByYear W29492877912023 @default.
- W2949287791 crossrefType "journal-article" @default.
- W2949287791 hasAuthorship W2949287791A5003625612 @default.
- W2949287791 hasAuthorship W2949287791A5037962040 @default.
- W2949287791 hasConcept C107482638 @default.
- W2949287791 hasConcept C112698675 @default.
- W2949287791 hasConcept C116834253 @default.
- W2949287791 hasConcept C144133560 @default.
- W2949287791 hasConcept C154945302 @default.
- W2949287791 hasConcept C15744967 @default.
- W2949287791 hasConcept C162853370 @default.
- W2949287791 hasConcept C16345878 @default.
- W2949287791 hasConcept C17744445 @default.
- W2949287791 hasConcept C18918823 @default.
- W2949287791 hasConcept C199539241 @default.
- W2949287791 hasConcept C2524010 @default.
- W2949287791 hasConcept C33923547 @default.
- W2949287791 hasConcept C41008148 @default.
- W2949287791 hasConcept C525551149 @default.
- W2949287791 hasConcept C59822182 @default.
- W2949287791 hasConcept C86803240 @default.
- W2949287791 hasConceptScore W2949287791C107482638 @default.
- W2949287791 hasConceptScore W2949287791C112698675 @default.
- W2949287791 hasConceptScore W2949287791C116834253 @default.
- W2949287791 hasConceptScore W2949287791C144133560 @default.
- W2949287791 hasConceptScore W2949287791C154945302 @default.
- W2949287791 hasConceptScore W2949287791C15744967 @default.
- W2949287791 hasConceptScore W2949287791C162853370 @default.
- W2949287791 hasConceptScore W2949287791C16345878 @default.
- W2949287791 hasConceptScore W2949287791C17744445 @default.
- W2949287791 hasConceptScore W2949287791C18918823 @default.
- W2949287791 hasConceptScore W2949287791C199539241 @default.
- W2949287791 hasConceptScore W2949287791C2524010 @default.
- W2949287791 hasConceptScore W2949287791C33923547 @default.
- W2949287791 hasConceptScore W2949287791C41008148 @default.