{"id":"https://openalex.org/W2579757747","doi":"https://doi.org/10.3233/978-1-61499-682-8-155","title":"Sentiment Classification of Social Media Content with Features Generated Using Topic Models","display_name":"Sentiment Classification of Social Media Content with Features Generated Using Topic Models","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2579757747","doi":"https://doi.org/10.3233/978-1-61499-682-8-155","mag":"2579757747"},"language":"en","primary_location":{"id":"doi:10.3233/978-1-61499-682-8-155","is_oa":true,"landing_page_url":"https://doi.org/10.3233/978-1-61499-682-8-155","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.3233/978-1-61499-682-8-155","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5060770905","display_name":"Stuart J. Blair","orcid":"https://orcid.org/0000-0002-9159-2667"},"institutions":[{"id":"https://openalex.org/I138801177","display_name":"University of Ulster","ror":"https://ror.org/01yp9g959","country_code":"GB","type":"education","lineage":["https://openalex.org/I138801177"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Blair Stuart J.","raw_affiliation_strings":["University of Ulster, Coleraine, United Kingdom"],"affiliations":[{"raw_affiliation_string":"University of Ulster, Coleraine, United Kingdom","institution_ids":["https://openalex.org/I138801177"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027797605","display_name":"Yaxin Bi","orcid":"https://orcid.org/0000-0002-0979-4084"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bi Yaxin","raw_affiliation_strings":["School of Computing"],"affiliations":[{"raw_affiliation_string":"School of Computing","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038610271","display_name":"Maurice Mulvenna","orcid":"https://orcid.org/0000-0002-1554-0785"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mulvenna Maurice D.","raw_affiliation_strings":["School of Computing"],"affiliations":[{"raw_affiliation_string":"School of Computing","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5060770905"],"corresponding_institution_ids":["https://openalex.org/I138801177"],"apc_list":null,"apc_paid":null,"fwci":0.6418,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.70944257,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9969000220298767,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/content","display_name":"Content (measure theory)","score":0.7158189415931702},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.6459842324256897},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.530296802520752},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.4159685969352722},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40183427929878235},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.37455832958221436},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.32874804735183716},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3211888372898102},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.19525593519210815},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13060063123703003}],"concepts":[{"id":"https://openalex.org/C2778152352","wikidata":"https://www.wikidata.org/wiki/Q5165061","display_name":"Content (measure theory)","level":2,"score":0.7158189415931702},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.6459842324256897},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.530296802520752},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.4159685969352722},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40183427929878235},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.37455832958221436},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.32874804735183716},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3211888372898102},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.19525593519210815},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13060063123703003},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3233/978-1-61499-682-8-155","is_oa":true,"landing_page_url":"https://doi.org/10.3233/978-1-61499-682-8-155","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},{"id":"pmh:oai:pure.atira.dk:openaire/8c99ed91-86c4-4448-9940-d90020fc855e","is_oa":true,"landing_page_url":"https://pure.ulster.ac.uk/en/publications/8c99ed91-86c4-4448-9940-d90020fc855e","pdf_url":null,"source":{"id":"https://openalex.org/S4306402454","display_name":"Ulster University Research Portal (Ulster University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I138801177","host_organization_name":"University of Ulster","host_organization_lineage":["https://openalex.org/I138801177"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Blair, S, Bi, Y & Mulvenna, M 2016, Sentiment Classification of Social Media Content with Features Generated Using Topic Models. in Proceedings of the Eighth European Starting AI Researcher Symposium (STAIRS-2016). vol. 284, IOS Press, Amsterdam, pp. 155-165. https://doi.org/10.3233/978-1-61499-682-8-155","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:pure.atira.dk:publications/8c99ed91-86c4-4448-9940-d90020fc855e","is_oa":true,"landing_page_url":"http://ebooks.iospress.nl/ISBN/978-1-61499-682-8","pdf_url":"https://pure.ulster.ac.uk/ws/files/11565864/Blair-Sentiment%20Classification%20of%20Social%20Media%20Augmented%20with%20Features%20Generated%20Using%20Topic%20Models.pdf","source":{"id":"https://openalex.org/S4306402454","display_name":"Ulster University Research Portal (Ulster University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I138801177","host_organization_name":"University of Ulster","host_organization_lineage":["https://openalex.org/I138801177"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Blair, S, Bi, Y & Mulvenna, M 2016, Sentiment Classification of Social Media Content with Features Generated Using Topic Models. in Proceedings of the Eighth European Starting AI Researcher Symposium (STAIRS-2016). vol. 284, IOS Press, Amsterdam, pp. 155-165. https://doi.org/10.3233/978-1-61499-682-8-155","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":{"id":"doi:10.3233/978-1-61499-682-8-155","is_oa":true,"landing_page_url":"https://doi.org/10.3233/978-1-61499-682-8-155","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W40549020","https://openalex.org/W145006391","https://openalex.org/W193524605","https://openalex.org/W202303397","https://openalex.org/W1924689489","https://openalex.org/W2017445227","https://openalex.org/W2042730970","https://openalex.org/W2044429219","https://openalex.org/W2063904635","https://openalex.org/W2079521622","https://openalex.org/W2096175520","https://openalex.org/W2107474859","https://openalex.org/W2108420397","https://openalex.org/W2129604374","https://openalex.org/W2131400639","https://openalex.org/W2143570397","https://openalex.org/W2147152072","https://openalex.org/W2949998441","https://openalex.org/W2951278869","https://openalex.org/W2951319051","https://openalex.org/W4231510805"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2548633793","https://openalex.org/W3013279174","https://openalex.org/W2941935829","https://openalex.org/W2596247554","https://openalex.org/W3132372214","https://openalex.org/W4224284088","https://openalex.org/W4286571989","https://openalex.org/W2765903680","https://openalex.org/W4317653575"],"abstract_inverted_index":{"This":[0,21],"paper":[1],"presents":[2],"a":[3,73],"method":[4,93],"for":[5,15,36,47],"using":[6,119,148],"topic":[7,11,43,68,120],"distributions":[8,121],"generated":[9,70],"from":[10,39],"models":[12],"as":[13,105,151],"features":[14,49,71,142,152],"performing":[16],"sentiment":[17],"analysis":[18],"on":[19,135],"documents.":[20],"will":[22,62,81,95],"be":[23,51,63,82,97,133],"tested":[24],"in":[25],"the":[26,37,67,106,111,124,130,136,140,154],"social":[27],"media":[28],"domain,":[29],"specifically":[30],"Twitter.":[31],"The":[32,92,115],"proposed":[33,94],"approach":[34],"allows":[35,46],"mapping":[38],"word":[40],"space":[41,44],"to":[42,50,65,99],"which":[45],"less":[48],"needed":[52],"and":[53,72,89,110,139],"also":[54,96],"reduces":[55],"computational":[56],"complexity.":[57],"Multiple":[58],"machine":[59],"learning":[60],"algorithms":[61],"used":[64,138],"test":[66,79],"model":[69,109],"number":[74],"of":[75,78,126],"different":[76],"versions":[77],"corpus":[80],"used,":[83],"including":[84],"unigrams,":[85],"bigrams,":[86],"part-of-speech":[87],"tagging":[88],"adjectives":[90],"only.":[91],"compared":[98],"other":[100],"notable":[101],"topic-sentiment":[102,156],"methods":[103],"such":[104],"aspect-sentiment":[107],"unification":[108],"joint":[112],"sentiment/topic":[113],"model.":[114],"results":[116],"show":[117,146],"that":[118,147],"can":[122,132],"improve":[123],"accuracy":[125],"classification":[127],"algorithms,":[128],"however,":[129],"performance":[131],"dependent":[134],"algorithm":[137],"initial":[141],"used.":[143],"Additionally,":[144],"we":[145],"only":[149],"topics":[150],"outperforms":[153],"hybrid":[155],"models.":[157]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2025-12-29T23:06:16.900395","created_date":"2017-01-26T00:00:00"}