Identifying patient experience from online resources via sentiment analysis and topic modelling

Mohammed Bahja, Mark Lycett

Research output: Chapter in Book/Report/Conference proceedingConference contribution

399 Downloads (Pure)
Original languageEnglish
Title of host publicationProceedings - 3rd IEEE/ACM International Conference on Big Data Computing, Applications and Technologies, BDCAT 2016
PublisherAssociation for Computing Machinery, Inc
Pages94-99
Number of pages6
ISBN (Electronic)9781450346177
DOIs
Publication statusPublished - 6 Dec 2016
Event3rd IEEE/ACM International Conference on Big Data Computing, Applications and Technologies, BDCAT 2016 - Shanghai, China
Duration: 6 Dec 20169 Dec 2016

Conference

Conference3rd IEEE/ACM International Conference on Big Data Computing, Applications and Technologies, BDCAT 2016
Country/TerritoryChina
CityShanghai
Period6/12/169/12/16

Keywords

  • Component
  • NHS Choices
  • Opinion mining
  • Patient experience
  • Patient feedback
  • Sentiment analysis
  • Text mining

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