Matches in SemOpenAlex for { <https://semopenalex.org/work/W2910064191> ?p ?o ?g. }
Showing items 1 to 70 of
70
with 100 items per page.
- W2910064191 abstract "The function of social media is now transforming to become source of information, even to support electronic word of mouth (e-WOM). Many companies, including ride-hailing service providers, can capture customers' opinions for the purpose of evaluating their products and services. Text mining can be useful to analyze great number of comments from ride-hailing customers in social media. Furthermore, by applying sentiment analysis, service providers can define the service categories which are good and still needing improvement. Customers' comments were taken from Twitter, and text classification method was used to classify the comments based on six predefined categories and their respective polarity. The accuracy of the classification model was 86% which was good to classify the text data. The output of this research is expected to give insight for ride-hailing service provider to understand customers' perspective about the services so that it will be easier to evaluate and improve their services based on the categories in this study." @default.
- W2910064191 created "2019-01-25" @default.
- W2910064191 creator A5005406247 @default.
- W2910064191 creator A5007047785 @default.
- W2910064191 creator A5063072628 @default.
- W2910064191 date "2018-07-01" @default.
- W2910064191 modified "2023-09-23" @default.
- W2910064191 title "Sentiment Analysis for Mining Customer Opinion on Twitter: A Case Study of Ride-Hailing Service Provider" @default.
- W2910064191 cites W1978712750 @default.
- W2910064191 cites W2294363208 @default.
- W2910064191 cites W2333689532 @default.
- W2910064191 cites W252878706 @default.
- W2910064191 cites W2783847884 @default.
- W2910064191 doi "https://doi.org/10.1109/icisce.2018.00113" @default.
- W2910064191 hasPublicationYear "2018" @default.
- W2910064191 type Work @default.
- W2910064191 sameAs 2910064191 @default.
- W2910064191 citedByCount "4" @default.
- W2910064191 countsByYear W29100641912020 @default.
- W2910064191 countsByYear W29100641912021 @default.
- W2910064191 countsByYear W29100641912023 @default.
- W2910064191 crossrefType "proceedings-article" @default.
- W2910064191 hasAuthorship W2910064191A5005406247 @default.
- W2910064191 hasAuthorship W2910064191A5007047785 @default.
- W2910064191 hasAuthorship W2910064191A5063072628 @default.
- W2910064191 hasConcept C116537 @default.
- W2910064191 hasConcept C12713177 @default.
- W2910064191 hasConcept C136764020 @default.
- W2910064191 hasConcept C14036430 @default.
- W2910064191 hasConcept C144133560 @default.
- W2910064191 hasConcept C154945302 @default.
- W2910064191 hasConcept C162853370 @default.
- W2910064191 hasConcept C2522767166 @default.
- W2910064191 hasConcept C2780378061 @default.
- W2910064191 hasConcept C41008148 @default.
- W2910064191 hasConcept C518677369 @default.
- W2910064191 hasConcept C66402592 @default.
- W2910064191 hasConcept C78458016 @default.
- W2910064191 hasConcept C86803240 @default.
- W2910064191 hasConceptScore W2910064191C116537 @default.
- W2910064191 hasConceptScore W2910064191C12713177 @default.
- W2910064191 hasConceptScore W2910064191C136764020 @default.
- W2910064191 hasConceptScore W2910064191C14036430 @default.
- W2910064191 hasConceptScore W2910064191C144133560 @default.
- W2910064191 hasConceptScore W2910064191C154945302 @default.
- W2910064191 hasConceptScore W2910064191C162853370 @default.
- W2910064191 hasConceptScore W2910064191C2522767166 @default.
- W2910064191 hasConceptScore W2910064191C2780378061 @default.
- W2910064191 hasConceptScore W2910064191C41008148 @default.
- W2910064191 hasConceptScore W2910064191C518677369 @default.
- W2910064191 hasConceptScore W2910064191C66402592 @default.
- W2910064191 hasConceptScore W2910064191C78458016 @default.
- W2910064191 hasConceptScore W2910064191C86803240 @default.
- W2910064191 hasLocation W29100641911 @default.
- W2910064191 hasOpenAccess W2910064191 @default.
- W2910064191 hasPrimaryLocation W29100641911 @default.
- W2910064191 hasRelatedWork W2243502667 @default.
- W2910064191 hasRelatedWork W2252197266 @default.
- W2910064191 hasRelatedWork W2412155161 @default.
- W2910064191 hasRelatedWork W2748952813 @default.
- W2910064191 hasRelatedWork W2889046623 @default.
- W2910064191 hasRelatedWork W3148756070 @default.
- W2910064191 hasRelatedWork W4205350312 @default.
- W2910064191 hasRelatedWork W4312733094 @default.
- W2910064191 hasRelatedWork W4381137115 @default.
- W2910064191 hasRelatedWork W63223808 @default.
- W2910064191 isParatext "false" @default.
- W2910064191 isRetracted "false" @default.
- W2910064191 magId "2910064191" @default.
- W2910064191 workType "article" @default.