{"id":"https://openalex.org/W2749217858","doi":"https://doi.org/10.21437/interspeech.2017-1035","title":"Opinion Dynamics Modeling for Movie Review Transcripts Classification with Hidden Conditional Random Fields","display_name":"Opinion Dynamics Modeling for Movie Review Transcripts Classification with Hidden Conditional Random Fields","publication_year":2017,"publication_date":"2017-08-16","ids":{"openalex":"https://openalex.org/W2749217858","doi":"https://doi.org/10.21437/interspeech.2017-1035","mag":"2749217858"},"language":"en","primary_location":{"id":"doi:10.21437/interspeech.2017-1035","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2017-1035","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2017","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1806.07787","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5056398585","display_name":"Valentin Barri\u00e8re","orcid":"https://orcid.org/0000-0002-0663-355X"},"institutions":[{"id":"https://openalex.org/I2802330208","display_name":"Statistics Belgium","ror":"https://ror.org/0246a9012","country_code":"BE","type":"government","lineage":["https://openalex.org/I2802330208","https://openalex.org/I4210095879"]}],"countries":["BE"],"is_corresponding":true,"raw_author_name":"Valentin Barriere","raw_affiliation_strings":["Signal, Statistique et Apprentissage"],"affiliations":[{"raw_affiliation_string":"Signal, Statistique et Apprentissage","institution_ids":["https://openalex.org/I2802330208"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064876801","display_name":"Chlo\u00e9 Clavel","orcid":"https://orcid.org/0000-0003-4850-3398"},"institutions":[{"id":"https://openalex.org/I2802330208","display_name":"Statistics Belgium","ror":"https://ror.org/0246a9012","country_code":"BE","type":"government","lineage":["https://openalex.org/I2802330208","https://openalex.org/I4210095879"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Chlo\u00e9 Clavel","raw_affiliation_strings":["Signal, Statistique et Apprentissage"],"affiliations":[{"raw_affiliation_string":"Signal, Statistique et Apprentissage","institution_ids":["https://openalex.org/I2802330208"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060031161","display_name":"Slim Essid","orcid":"https://orcid.org/0000-0002-0028-327X"},"institutions":[{"id":"https://openalex.org/I2802330208","display_name":"Statistics Belgium","ror":"https://ror.org/0246a9012","country_code":"BE","type":"government","lineage":["https://openalex.org/I2802330208","https://openalex.org/I4210095879"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Slim Essid","raw_affiliation_strings":["Signal, Statistique et Apprentissage"],"affiliations":[{"raw_affiliation_string":"Signal, Statistique et Apprentissage","institution_ids":["https://openalex.org/I2802330208"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5056398585"],"corresponding_institution_ids":["https://openalex.org/I2802330208"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.11855458,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1457","last_page":"1461"},"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/T10028","display_name":"Topic Modeling","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/T11309","display_name":"Music and Audio Processing","score":0.9858999848365784,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/conditional-random-field","display_name":"Conditional random field","score":0.756033182144165},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6734930872917175},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6374388337135315},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6198994517326355},{"id":"https://openalex.org/keywords/dynamics","display_name":"Dynamics (music)","score":0.5492916703224182},{"id":"https://openalex.org/keywords/word-embedding","display_name":"Word embedding","score":0.5462484359741211},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.5281211137771606},{"id":"https://openalex.org/keywords/subjectivity","display_name":"Subjectivity","score":0.5251367092132568},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.5007138252258301},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.4814531207084656},{"id":"https://openalex.org/keywords/statistical-model","display_name":"Statistical model","score":0.46081939339637756},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.42734748125076294},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.2599652409553528},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.11480110883712769}],"concepts":[{"id":"https://openalex.org/C152565575","wikidata":"https://www.wikidata.org/wiki/Q1124538","display_name":"Conditional random field","level":2,"score":0.756033182144165},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6734930872917175},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6374388337135315},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6198994517326355},{"id":"https://openalex.org/C145912823","wikidata":"https://www.wikidata.org/wiki/Q113558","display_name":"Dynamics (music)","level":2,"score":0.5492916703224182},{"id":"https://openalex.org/C2777462759","wikidata":"https://www.wikidata.org/wiki/Q18395344","display_name":"Word embedding","level":3,"score":0.5462484359741211},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.5281211137771606},{"id":"https://openalex.org/C202889954","wikidata":"https://www.wikidata.org/wiki/Q1139554","display_name":"Subjectivity","level":2,"score":0.5251367092132568},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.5007138252258301},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.4814531207084656},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.46081939339637756},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.42734748125076294},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.2599652409553528},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.11480110883712769},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.21437/interspeech.2017-1035","is_oa":false,"landing_page_url":"https://doi.org/10.21437/interspeech.2017-1035","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Interspeech 2017","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1806.07787","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1806.07787","pdf_url":"https://arxiv.org/pdf/1806.07787","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:HAL:hal-02287607v1","is_oa":false,"landing_page_url":"https://telecom-paris.hal.science/hal-02287607","pdf_url":null,"source":{"id":"https://openalex.org/S4406922461","display_name":"SPIRE - Sciences Po Institutional REpository","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Interspeech 2017, Aug 2017, Stockholm, Sweden","raw_type":"Conference papers"},{"id":"doi:10.48550/arxiv.1806.07787","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1806.07787","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"},{"id":"mag:2749217858","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1806.07787","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1806.07787","pdf_url":"https://arxiv.org/pdf/1806.07787","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2749217858.pdf","grobid_xml":"https://content.openalex.org/works/W2749217858.grobid-xml"},"referenced_works_count":15,"referenced_works":["https://openalex.org/W193524605","https://openalex.org/W1522301498","https://openalex.org/W2023736093","https://openalex.org/W2063596712","https://openalex.org/W2084046180","https://openalex.org/W2098689807","https://openalex.org/W2104051600","https://openalex.org/W2115834228","https://openalex.org/W2122563357","https://openalex.org/W2130628481","https://openalex.org/W2143562645","https://openalex.org/W2144012961","https://openalex.org/W2251394420","https://openalex.org/W2571842322","https://openalex.org/W2950577311"],"related_works":["https://openalex.org/W2964242795","https://openalex.org/W2619621487","https://openalex.org/W324725987","https://openalex.org/W2169350739","https://openalex.org/W2762184078","https://openalex.org/W3209240709","https://openalex.org/W2767604130","https://openalex.org/W2954618702","https://openalex.org/W3014529601","https://openalex.org/W3149303815","https://openalex.org/W2527113023","https://openalex.org/W2886326288","https://openalex.org/W3159498945","https://openalex.org/W2217066517","https://openalex.org/W2759146352","https://openalex.org/W2935696748","https://openalex.org/W2405565204","https://openalex.org/W110047665","https://openalex.org/W2963121854","https://openalex.org/W2949972936"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"the":[3,24,27,31,51,75,105,112,129,132],"main":[4],"goal":[5],"is":[6,72,85],"to":[7,22,110,122],"detect":[8],"a":[9,61,80,98],"movie":[10,124],"reviewer's":[11,28],"opinion":[12,29],"using":[13],"hidden":[14],"conditional":[15],"random":[16],"fields.":[17],"This":[18],"model":[19,65,115,128],"allows":[20],"us":[21],"capture":[23],"dynamics":[25,130],"of":[26,33,53,82,107,131],"in":[30],"transcripts":[32],"long":[34],"unsegmented":[35],"audio":[36],"reviews":[37,125],"that":[38,100],"are":[39,48],"analyzed":[40],"by":[41],"our":[42,108],"system.":[43],"High":[44],"level":[45,52],"linguistic":[46],"features":[47,57],"computed":[49],"at":[50],"inter-pausal":[54],"segments.":[55],"The":[56,69],"include":[58],"syntactic":[59],"features,":[60],"statistical":[62],"word":[63,113],"embedding":[64,114],"and":[66,90,126],"subjectivity":[67],"lexicons.":[68],"proposed":[70],"system":[71,109],"evaluated":[73],"on":[74,104],"ICT-MMMO":[76],"corpus.":[77],"We":[78,95],"obtain":[79],"F1-score":[81],"82\\%,":[83],"which":[84],"better":[86],"than":[87],"logistic":[88],"regression":[89],"recurrent":[91],"neural":[92],"network":[93],"approaches.":[94],"also":[96],"offer":[97],"discussion":[99],"sheds":[101],"some":[102],"light":[103],"capacity":[106],"adapt":[111],"learned":[116],"from":[117],"general":[118],"written":[119],"texts":[120],"data":[121],"spoken":[123],"thus":[127],"opinion.":[133]},"counts_by_year":[],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2025-10-10T00:00:00"}