{"id":"https://openalex.org/W2806546803","doi":"https://doi.org/10.1007/978-3-319-92058-0_73","title":"Sentiment Classification of Short Texts","display_name":"Sentiment Classification of Short Texts","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2806546803","doi":"https://doi.org/10.1007/978-3-319-92058-0_73","mag":"2806546803"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-319-92058-0_73","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-92058-0_73","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5030256777","display_name":"Jaspinder Kaur","orcid":"https://orcid.org/0000-0003-4020-8562"},"institutions":[{"id":"https://openalex.org/I79817857","display_name":"University of Guelph","ror":"https://ror.org/01r7awg59","country_code":"CA","type":"education","lineage":["https://openalex.org/I79817857"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Jaspinder Kaur","raw_affiliation_strings":["University of Guelph, Guelph, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Guelph, Guelph, Canada","institution_ids":["https://openalex.org/I79817857"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060317184","display_name":"Rozita Dara","orcid":null},"institutions":[{"id":"https://openalex.org/I79817857","display_name":"University of Guelph","ror":"https://ror.org/01r7awg59","country_code":"CA","type":"education","lineage":["https://openalex.org/I79817857"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Rozita Dara","raw_affiliation_strings":["University of Guelph, Guelph, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Guelph, Guelph, Canada","institution_ids":["https://openalex.org/I79817857"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037237628","display_name":"Pascal Matsakis","orcid":null},"institutions":[{"id":"https://openalex.org/I79817857","display_name":"University of Guelph","ror":"https://ror.org/01r7awg59","country_code":"CA","type":"education","lineage":["https://openalex.org/I79817857"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Pascal Matsakis","raw_affiliation_strings":["University of Guelph, Guelph, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Guelph, Guelph, Canada","institution_ids":["https://openalex.org/I79817857"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5030256777"],"corresponding_institution_ids":["https://openalex.org/I79817857"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":0.2789,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.5514952,"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":"751","last_page":"761"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9945999979972839,"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":0.9940000176429749,"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/computer-science","display_name":"Computer science","score":0.8746837377548218},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.8494962453842163},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7262413501739502},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6334359645843506},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.5867767333984375},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5823133587837219},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5764725804328918},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.4971762001514435},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4700188636779785},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.43297699093818665},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.42205119132995605},{"id":"https://openalex.org/keywords/feature-engineering","display_name":"Feature engineering","score":0.42135441303253174},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4207158088684082},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.35329246520996094}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8746837377548218},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.8494962453842163},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7262413501739502},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6334359645843506},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.5867767333984375},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5823133587837219},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5764725804328918},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.4971762001514435},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4700188636779785},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.43297699093818665},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.42205119132995605},{"id":"https://openalex.org/C2778827112","wikidata":"https://www.wikidata.org/wiki/Q22245680","display_name":"Feature engineering","level":3,"score":0.42135441303253174},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4207158088684082},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.35329246520996094},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-319-92058-0_73","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-92058-0_73","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W179179905","https://openalex.org/W1576520375","https://openalex.org/W1613249581","https://openalex.org/W1832693441","https://openalex.org/W1873332500","https://openalex.org/W1988772356","https://openalex.org/W2005624335","https://openalex.org/W2008642148","https://openalex.org/W2013994393","https://openalex.org/W2019759670","https://openalex.org/W2056671638","https://openalex.org/W2097726431","https://openalex.org/W2108420397","https://openalex.org/W2112466218","https://openalex.org/W2120615054","https://openalex.org/W2151595407","https://openalex.org/W2153579005","https://openalex.org/W2155328222","https://openalex.org/W2155830421","https://openalex.org/W2156571267","https://openalex.org/W2166706824","https://openalex.org/W2168625136","https://openalex.org/W2251939518","https://openalex.org/W2882319491","https://openalex.org/W2911964244","https://openalex.org/W2919115771","https://openalex.org/W2963083845","https://openalex.org/W2963921497","https://openalex.org/W3146306708","https://openalex.org/W4205184193","https://openalex.org/W4231631481","https://openalex.org/W6600195515","https://openalex.org/W6682786854"],"related_works":["https://openalex.org/W4367336074","https://openalex.org/W3154045278","https://openalex.org/W4379620016","https://openalex.org/W3210764983","https://openalex.org/W4367335949","https://openalex.org/W3089416646","https://openalex.org/W3021501837","https://openalex.org/W4380048833","https://openalex.org/W4285162676","https://openalex.org/W3036529732"],"abstract_inverted_index":null,"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}