{"id":"https://openalex.org/W1986480983","doi":"https://doi.org/10.1109/sped.2013.6682645","title":"Evaluation of sentiment polarity prediction using a dimensional and a categorical approach","display_name":"Evaluation of sentiment polarity prediction using a dimensional and a categorical approach","publication_year":2013,"publication_date":"2013-10-01","ids":{"openalex":"https://openalex.org/W1986480983","doi":"https://doi.org/10.1109/sped.2013.6682645","mag":"1986480983"},"language":"en","primary_location":{"id":"doi:10.1109/sped.2013.6682645","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sped.2013.6682645","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 7th Conference on Speech Technology and Human - Computer Dialogue (SpeD)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://zenodo.org/record/3434825","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5110063915","display_name":"Ioana Muresan","orcid":null},"institutions":[{"id":"https://openalex.org/I158333966","display_name":"Technical University of Cluj-Napoca","ror":"https://ror.org/03r8nwp71","country_code":"RO","type":"education","lineage":["https://openalex.org/I158333966"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Ioana Muresan","raw_affiliation_strings":["Communications Department, Technical University of Cluj-Napoca, Cluj-Napoca, Romania","Commun. Dept., Tech. Univ. of Cluj-Napoca, Cluj-Napoca, Romania"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Communications Department, Technical University of Cluj-Napoca, Cluj-Napoca, Romania","institution_ids":["https://openalex.org/I158333966"]},{"raw_affiliation_string":"Commun. Dept., Tech. Univ. of Cluj-Napoca, Cluj-Napoca, Romania","institution_ids":["https://openalex.org/I158333966"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018126799","display_name":"Adriana Stan","orcid":"https://orcid.org/0000-0003-2894-5770"},"institutions":[{"id":"https://openalex.org/I158333966","display_name":"Technical University of Cluj-Napoca","ror":"https://ror.org/03r8nwp71","country_code":"RO","type":"education","lineage":["https://openalex.org/I158333966"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Adriana Stan","raw_affiliation_strings":["Communications Department, Technical University of Cluj-Napoca, Cluj-Napoca, Romania","Commun. Dept., Tech. Univ. of Cluj-Napoca, Cluj-Napoca, Romania"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Communications Department, Technical University of Cluj-Napoca, Cluj-Napoca, Romania","institution_ids":["https://openalex.org/I158333966"]},{"raw_affiliation_string":"Commun. Dept., Tech. Univ. of Cluj-Napoca, Cluj-Napoca, Romania","institution_ids":["https://openalex.org/I158333966"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038722127","display_name":"Mircea Giurgiu","orcid":"https://orcid.org/0009-0007-9789-6083"},"institutions":[{"id":"https://openalex.org/I158333966","display_name":"Technical University of Cluj-Napoca","ror":"https://ror.org/03r8nwp71","country_code":"RO","type":"education","lineage":["https://openalex.org/I158333966"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Mircea Giurgiu","raw_affiliation_strings":["Communications Department, Technical University of Cluj-Napoca, Cluj-Napoca, Romania","Commun. Dept., Tech. Univ. of Cluj-Napoca, Cluj-Napoca, Romania"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Communications Department, Technical University of Cluj-Napoca, Cluj-Napoca, Romania","institution_ids":["https://openalex.org/I158333966"]},{"raw_affiliation_string":"Commun. Dept., Tech. Univ. of Cluj-Napoca, Cluj-Napoca, Romania","institution_ids":["https://openalex.org/I158333966"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049230139","display_name":"Rodica Potolea","orcid":"https://orcid.org/0000-0002-7051-3691"},"institutions":[{"id":"https://openalex.org/I158333966","display_name":"Technical University of Cluj-Napoca","ror":"https://ror.org/03r8nwp71","country_code":"RO","type":"education","lineage":["https://openalex.org/I158333966"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Rodica Potolea","raw_affiliation_strings":["Communications Department, Technical University of Cluj-Napoca, Cluj-Napoca, Romania","Dept. of Comput. Sci., Tech. Univ. of Cluj-Napoca, Cluj-Napoca, Romania"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Communications Department, Technical University of Cluj-Napoca, Cluj-Napoca, Romania","institution_ids":["https://openalex.org/I158333966"]},{"raw_affiliation_string":"Dept. of Comput. Sci., Tech. Univ. of Cluj-Napoca, Cluj-Napoca, Romania","institution_ids":["https://openalex.org/I158333966"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I158333966"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"7","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":1.0,"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":1.0,"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":0.9991999864578247,"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/T10028","display_name":"Topic Modeling","score":0.9879000186920166,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/categorical-variable","display_name":"Categorical variable","score":0.7695407271385193},{"id":"https://openalex.org/keywords/polarity","display_name":"Polarity (international relations)","score":0.6986774802207947},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6059445738792419},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.5546221733093262},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5452256202697754},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39948606491088867},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.355676531791687},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3118583559989929},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.07154068350791931}],"concepts":[{"id":"https://openalex.org/C5274069","wikidata":"https://www.wikidata.org/wiki/Q2285707","display_name":"Categorical variable","level":2,"score":0.7695407271385193},{"id":"https://openalex.org/C2777361361","wikidata":"https://www.wikidata.org/wiki/Q1112585","display_name":"Polarity (international relations)","level":3,"score":0.6986774802207947},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6059445738792419},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.5546221733093262},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5452256202697754},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39948606491088867},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.355676531791687},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3118583559989929},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.07154068350791931},{"id":"https://openalex.org/C1491633281","wikidata":"https://www.wikidata.org/wiki/Q7868","display_name":"Cell","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/sped.2013.6682645","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sped.2013.6682645","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 7th Conference on Speech Technology and Human - Computer Dialogue (SpeD)","raw_type":"proceedings-article"},{"id":"pmh:oai:zenodo.org:3434825","is_oa":true,"landing_page_url":"https://zenodo.org/record/3434825","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferencePaper"}],"best_oa_location":{"id":"pmh:oai:zenodo.org:3434825","is_oa":true,"landing_page_url":"https://zenodo.org/record/3434825","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferencePaper"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.6600000262260437}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W17814598","https://openalex.org/W104703790","https://openalex.org/W172155968","https://openalex.org/W188346467","https://openalex.org/W193524605","https://openalex.org/W1467259623","https://openalex.org/W1549285799","https://openalex.org/W1988733743","https://openalex.org/W2023736093","https://openalex.org/W2032374598","https://openalex.org/W2079521622","https://openalex.org/W2081580037","https://openalex.org/W2097162496","https://openalex.org/W2124388456","https://openalex.org/W2134031328","https://openalex.org/W2160218441","https://openalex.org/W2168625136","https://openalex.org/W2199803028","https://openalex.org/W2250770256","https://openalex.org/W2404480901","https://openalex.org/W2949998441","https://openalex.org/W3009009611","https://openalex.org/W3146306708","https://openalex.org/W4285719527","https://openalex.org/W6600736262","https://openalex.org/W6604213843","https://openalex.org/W6607589363","https://openalex.org/W6607799657","https://openalex.org/W6628577599","https://openalex.org/W6683584131","https://openalex.org/W6691770232","https://openalex.org/W6764146914","https://openalex.org/W7006880164"],"related_works":["https://openalex.org/W4386799044","https://openalex.org/W2773208253","https://openalex.org/W2548633793","https://openalex.org/W3013279174","https://openalex.org/W2941935829","https://openalex.org/W2560646951","https://openalex.org/W4297454206","https://openalex.org/W65104662","https://openalex.org/W2400337198","https://openalex.org/W1984947604"],"abstract_inverted_index":{"In":[0],"this":[1],"paper":[2],"we":[3],"evaluate":[4],"two":[5],"approaches":[6],"for":[7],"predicting":[8],"the":[9,41,55,59,115,119,126,132],"sentiment":[10],"polarity":[11],"of":[12,32,58,114,129],"an":[13],"utterance.":[14],"The":[15,37,81,108],"first":[16],"method":[17],"is":[18,83],"based":[19],"on":[20,85,96],"a":[21,104,111],"3-dimensional":[22],"model":[23],"which":[24],"takes":[25],"into":[26],"account":[27],"text":[28,134],"expressiveness":[29],"in":[30],"terms":[31],"valence,":[33],"arousal":[34],"and":[35,48,61,79,99,103],"dominance.":[36],"second":[38],"one":[39],"determines":[40],"word's":[42],"semantic":[43],"orientation":[44],"according":[45],"to":[46,125],"Chi-square":[47],"Relevance":[49],"factor":[50],"statistic":[51],"metrics.":[52],"We":[53],"describe":[54],"general":[56],"flow":[57],"methods":[60],"their":[62,68],"extracted":[63],"features,":[64],"as":[65,67,122,124],"well":[66,123],"predictability":[69],"potential":[70],"using":[71],"different":[72],"machine":[73],"learning":[74],"algorithms,":[75],"Na\u00efve":[76],"Bayes,":[77],"SVM":[78],"C4.5.":[80],"evaluation":[82],"performed":[84],"four":[86],"emotional":[87],"datasets:":[88],"Semeval":[89],"2007":[90],"\u201cAffective":[91],"Text\u201d,":[92],"ISEAR":[93],"(International":[94],"Survey":[95],"Emotional":[97],"Antecedents":[98],"Reactions),":[100],"children's":[101],"fairy-tales":[102],"movie":[105],"review":[106],"dataset.":[107],"results":[109],"show":[110],"high":[112],"correlation":[113],"prediction":[116],"performance":[117],"with":[118],"database":[120],"content,":[121],"average":[127],"number":[128],"words":[130],"within":[131],"classified":[133],"instances.":[135]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
