{"id":"https://openalex.org/W2759212033","doi":"https://doi.org/10.18653/v1/w17-4201","title":"Predicting News Values from Headline Text and Emotions","display_name":"Predicting News Values from Headline Text and Emotions","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2759212033","doi":"https://doi.org/10.18653/v1/w17-4201","mag":"2759212033"},"language":"en","primary_location":{"id":"doi:10.18653/v1/w17-4201","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w17-4201","pdf_url":"https://www.aclweb.org/anthology/W17-4201.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2017 EMNLP Workshop: Natural Language Processing\n          meets Journalism","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/W17-4201.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5028152896","display_name":"Maria Pia di Buono","orcid":"https://orcid.org/0000-0001-7284-6556"},"institutions":[{"id":"https://openalex.org/I181343428","display_name":"University of Zagreb","ror":"https://ror.org/00mv6sv71","country_code":"HR","type":"education","lineage":["https://openalex.org/I181343428"]}],"countries":["HR"],"is_corresponding":false,"raw_author_name":"Maria Pia di Buono","raw_affiliation_strings":["Faculty of Electrical Engineering and Computing, University of Zagreb"],"affiliations":[{"raw_affiliation_string":"Faculty of Electrical Engineering and Computing, University of Zagreb","institution_ids":["https://openalex.org/I181343428"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067851924","display_name":"Jan \u0160najder","orcid":"https://orcid.org/0000-0001-8942-5301"},"institutions":[{"id":"https://openalex.org/I181343428","display_name":"University of Zagreb","ror":"https://ror.org/00mv6sv71","country_code":"HR","type":"education","lineage":["https://openalex.org/I181343428"]}],"countries":["HR"],"is_corresponding":false,"raw_author_name":"Jan \u0160najder","raw_affiliation_strings":["Faculty of Electrical Engineering and Computing, University of Zagreb"],"affiliations":[{"raw_affiliation_string":"Faculty of Electrical Engineering and Computing, University of Zagreb","institution_ids":["https://openalex.org/I181343428"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004799429","display_name":"Bojana Dalbelo Ba\u0161i\u0107","orcid":"https://orcid.org/0000-0002-6028-133X"},"institutions":[{"id":"https://openalex.org/I181343428","display_name":"University of Zagreb","ror":"https://ror.org/00mv6sv71","country_code":"HR","type":"education","lineage":["https://openalex.org/I181343428"]}],"countries":["HR"],"is_corresponding":false,"raw_author_name":"Bojana Dalbelo Basic","raw_affiliation_strings":["Faculty of Electrical Engineering and Computing, University of Zagreb"],"affiliations":[{"raw_affiliation_string":"Faculty of Electrical Engineering and Computing, University of Zagreb","institution_ids":["https://openalex.org/I181343428"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079336821","display_name":"Goran Glava\u009a\u0161","orcid":"https://orcid.org/0000-0002-1301-6314"},"institutions":[{"id":"https://openalex.org/I177802217","display_name":"University of Mannheim","ror":"https://ror.org/031bsb921","country_code":"DE","type":"education","lineage":["https://openalex.org/I177802217"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Goran Glava\u0161","raw_affiliation_strings":["Data and Web Science Group, University of Mannheim, Germany"],"affiliations":[{"raw_affiliation_string":"Data and Web Science Group, University of Mannheim, Germany","institution_ids":["https://openalex.org/I177802217"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020691628","display_name":"Martin Tutek","orcid":"https://orcid.org/0000-0001-5227-5397"},"institutions":[{"id":"https://openalex.org/I181343428","display_name":"University of Zagreb","ror":"https://ror.org/00mv6sv71","country_code":"HR","type":"education","lineage":["https://openalex.org/I181343428"]}],"countries":["HR"],"is_corresponding":false,"raw_author_name":"Martin Tutek","raw_affiliation_strings":["Faculty of Electrical Engineering and Computing, University of Zagreb"],"affiliations":[{"raw_affiliation_string":"Faculty of Electrical Engineering and Computing, University of Zagreb","institution_ids":["https://openalex.org/I181343428"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113653594","display_name":"Nata\u0161a Mili\u0107-Frayling","orcid":null},"institutions":[{"id":"https://openalex.org/I142263535","display_name":"University of Nottingham","ror":"https://ror.org/01ee9ar58","country_code":"GB","type":"education","lineage":["https://openalex.org/I142263535"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Natasa Milic-Frayling","raw_affiliation_strings":["School of Computer Science, University of Nottingham, UK"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, University of Nottingham, UK","institution_ids":["https://openalex.org/I142263535"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5113653594"],"corresponding_institution_ids":["https://openalex.org/I142263535"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.14565447,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"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":0.9988999962806702,"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":0.9988999962806702,"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":0.9987999796867371,"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":0.9962999820709229,"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/headline","display_name":"Headline","score":0.9935493469238281},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7362937927246094},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5844464898109436},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5648233890533447},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.49785518646240234},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.36277100443840027},{"id":"https://openalex.org/keywords/advertising","display_name":"Advertising","score":0.16722866892814636}],"concepts":[{"id":"https://openalex.org/C2778689934","wikidata":"https://www.wikidata.org/wiki/Q1313396","display_name":"Headline","level":2,"score":0.9935493469238281},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7362937927246094},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5844464898109436},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5648233890533447},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.49785518646240234},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.36277100443840027},{"id":"https://openalex.org/C112698675","wikidata":"https://www.wikidata.org/wiki/Q37038","display_name":"Advertising","level":1,"score":0.16722866892814636},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.18653/v1/w17-4201","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w17-4201","pdf_url":"https://www.aclweb.org/anthology/W17-4201.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2017 EMNLP Workshop: Natural Language Processing\n          meets Journalism","raw_type":"proceedings-article"},{"id":"pmh:oai:ub-madoc.bib.uni-mannheim.de:60334","is_oa":false,"landing_page_url":"https://madoc.bib.uni-mannheim.de/60334/","pdf_url":null,"source":{"id":"https://openalex.org/S4377196315","display_name":"MADOC (University of Mannheim)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I177802217","host_organization_name":"University of Mannheim","host_organization_lineage":["https://openalex.org/I177802217"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Konferenzver\u00f6ffentlichung"},{"id":"pmh:oai:unora.unior.it:11574/190309","is_oa":true,"landing_page_url":"http://hdl.handle.net/11574/190309","pdf_url":null,"source":{"id":"https://openalex.org/S4377196523","display_name":"The Oriental (University of Naples - L'Orientale)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I127927624","host_organization_name":"University of Naples - L'Orientale","host_organization_lineage":["https://openalex.org/I127927624"],"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":"","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"doi:10.18653/v1/w17-4201","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w17-4201","pdf_url":"https://www.aclweb.org/anthology/W17-4201.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2017 EMNLP Workshop: Natural Language Processing\n          meets Journalism","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6823627607","display_name":null,"funder_award_id":"19/15","funder_id":"https://openalex.org/F4320310705","funder_display_name":"Unity through Knowledge Fund"}],"funders":[{"id":"https://openalex.org/F4320310705","display_name":"Unity through Knowledge Fund","ror":"https://ror.org/008c6se98"},{"id":"https://openalex.org/F4320322674","display_name":"Hrvatska Zaklada za Znanost","ror":"https://ror.org/03n51vw80"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2759212033.pdf","grobid_xml":"https://content.openalex.org/works/W2759212033.grobid-xml"},"referenced_works_count":30,"referenced_works":["https://openalex.org/W27263903","https://openalex.org/W647201115","https://openalex.org/W1499170180","https://openalex.org/W1562806204","https://openalex.org/W1595459570","https://openalex.org/W1601667204","https://openalex.org/W1832693441","https://openalex.org/W1990936741","https://openalex.org/W1994484359","https://openalex.org/W2001770904","https://openalex.org/W2049434052","https://openalex.org/W2053968437","https://openalex.org/W2057399676","https://openalex.org/W2076423089","https://openalex.org/W2079521622","https://openalex.org/W2083123307","https://openalex.org/W2101234009","https://openalex.org/W2123177503","https://openalex.org/W2126179176","https://openalex.org/W2149684865","https://openalex.org/W2153579005","https://openalex.org/W2153635508","https://openalex.org/W2164777277","https://openalex.org/W2290394509","https://openalex.org/W2404688357","https://openalex.org/W2594098267","https://openalex.org/W3100516969","https://openalex.org/W3120421331","https://openalex.org/W4239510810","https://openalex.org/W4294170691"],"related_works":["https://openalex.org/W4285135530","https://openalex.org/W2380567098","https://openalex.org/W2035489689","https://openalex.org/W906669285","https://openalex.org/W1553197492","https://openalex.org/W85886512","https://openalex.org/W2515595154","https://openalex.org/W1514610457","https://openalex.org/W1586468330","https://openalex.org/W3204019825"],"abstract_inverted_index":{"We":[0,14,34,58],"present":[1],"a":[2,16,20,45,65],"preliminary":[3],"study":[4],"on":[5,19],"predicting":[6],"news":[7,25,49,69],"values":[8,26,50,70],"from":[9,51,82],"headline":[10,52],"text":[11,53],"and":[12,27,44,54],"emotions.":[13],"perform":[15],"multivariate":[17],"analysis":[18],"dataset":[21],"manually":[22],"annotated":[23],"with":[24],"emotions,":[28],"discovering":[29],"interesting":[30],"correlations":[31],"among":[32],"them.":[33],"then":[35],"train":[36],"two":[37],"competitive":[38],"machine":[39],"learning":[40],"models":[41,63],"-an":[42],"SVM":[43],"CNN":[46],"-to":[47],"predict":[48],"emotions":[55],"as":[56],"features.":[57],"find":[59],"that,":[60],"while":[61,78],"both":[62],"yield":[64],"satisfactory":[66],"performance,":[67],"some":[68,79],"are":[71],"more":[72,81],"difficult":[73],"to":[74],"detect":[75],"than":[76],"others,":[77],"profit":[80],"including":[83],"emotion":[84],"information.":[85]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":3}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
