{"id":"https://openalex.org/W2969987161","doi":"https://doi.org/10.1109/siu.2019.8806355","title":"SENTIMENT ANALYSIS IN TURKISH FILM COMMENTS","display_name":"SENTIMENT ANALYSIS IN TURKISH FILM COMMENTS","publication_year":2019,"publication_date":"2019-04-01","ids":{"openalex":"https://openalex.org/W2969987161","doi":"https://doi.org/10.1109/siu.2019.8806355","mag":"2969987161"},"language":"en","primary_location":{"id":"doi:10.1109/siu.2019.8806355","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu.2019.8806355","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 27th Signal Processing and Communications Applications Conference (SIU)","raw_type":"proceedings-article"},"type":"article","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/A5060601483","display_name":"Abdullah Uslu","orcid":"https://orcid.org/0000-0002-3660-7096"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Abdullah Uslu","raw_affiliation_strings":["Bah&#x04AB;e&#x015F;ehir &#x00DC;niversitesi, Bilgisayar M&#x00FC;hendisli&#x011F;i B&#x00F6;l&#x00FC;m&#x00FC;, &#x0130;stanbul, T&#x00FC;rkiye"],"affiliations":[{"raw_affiliation_string":"Bah&#x04AB;e&#x015F;ehir &#x00DC;niversitesi, Bilgisayar M&#x00FC;hendisli&#x011F;i B&#x00F6;l&#x00FC;m&#x00FC;, &#x0130;stanbul, T&#x00FC;rkiye","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081605448","display_name":"Sefa Tekin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sefa Tekin","raw_affiliation_strings":["Bah&#x04AB;e&#x015F;ehir &#x00DC;niversitesi, Bilgisayar M&#x00FC;hendisli&#x011F;i B&#x00F6;l&#x00FC;m&#x00FC;, &#x0130;stanbul, T&#x00FC;rkiye"],"affiliations":[{"raw_affiliation_string":"Bah&#x04AB;e&#x015F;ehir &#x00DC;niversitesi, Bilgisayar M&#x00FC;hendisli&#x011F;i B&#x00F6;l&#x00FC;m&#x00FC;, &#x0130;stanbul, T&#x00FC;rkiye","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020004345","display_name":"Tevfik Aytekin","orcid":"https://orcid.org/0000-0003-4402-7806"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tevfik Aytekin","raw_affiliation_strings":["Bah&#x04AB;e&#x015F;ehir &#x00DC;niversitesi, Bilgisayar M&#x00FC;hendisli&#x011F;i B&#x00F6;l&#x00FC;m&#x00FC;, &#x0130;stanbul, T&#x00FC;rkiye"],"affiliations":[{"raw_affiliation_string":"Bah&#x04AB;e&#x015F;ehir &#x00DC;niversitesi, Bilgisayar M&#x00FC;hendisli&#x011F;i B&#x00F6;l&#x00FC;m&#x00FC;, &#x0130;stanbul, T&#x00FC;rkiye","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5060601483"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.42,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.70979127,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9998000264167786,"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":0.9998000264167786,"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/T11326","display_name":"Stock Market Forecasting Methods","score":0.9850999712944031,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9754999876022339,"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/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.8750609159469604},{"id":"https://openalex.org/keywords/turkish","display_name":"Turkish","score":0.8562834858894348},{"id":"https://openalex.org/keywords/logistic-regression","display_name":"Logistic regression","score":0.7552158832550049},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.7414111495018005},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.7208033800125122},{"id":"https://openalex.org/keywords/lexicon","display_name":"Lexicon","score":0.7155039310455322},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6923097372055054},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5932788848876953},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.5465556979179382},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5197217464447021},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3993833363056183},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.09240081906318665}],"concepts":[{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.8750609159469604},{"id":"https://openalex.org/C2781121862","wikidata":"https://www.wikidata.org/wiki/Q256","display_name":"Turkish","level":2,"score":0.8562834858894348},{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.7552158832550049},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.7414111495018005},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7208033800125122},{"id":"https://openalex.org/C2778121359","wikidata":"https://www.wikidata.org/wiki/Q8096","display_name":"Lexicon","level":2,"score":0.7155039310455322},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6923097372055054},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5932788848876953},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.5465556979179382},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5197217464447021},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3993833363056183},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.09240081906318665},{"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:10.1109/siu.2019.8806355","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu.2019.8806355","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 27th Signal Processing and Communications Applications Conference (SIU)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7599999904632568,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1990246718","https://openalex.org/W2000861060","https://openalex.org/W2019759670","https://openalex.org/W2151308135","https://openalex.org/W2345480428","https://openalex.org/W2597854144","https://openalex.org/W2756474357","https://openalex.org/W2907763896","https://openalex.org/W2950974174"],"related_works":["https://openalex.org/W2888662092","https://openalex.org/W3205826705","https://openalex.org/W2903394456","https://openalex.org/W2902285665","https://openalex.org/W3119550360","https://openalex.org/W2975174210","https://openalex.org/W4200238620","https://openalex.org/W2244029015","https://openalex.org/W2287843335","https://openalex.org/W3021501837"],"abstract_inverted_index":{"Analysing":[0],"the":[1,19,23,65,70],"sentiments":[2],"in":[3],"text":[4],"files,":[5],"movie":[6],"website's":[7],"user":[8],"comment":[9],"is":[10],"an":[11,74],"important":[12],"research":[13],"fields":[14],"both":[15],"for":[16],"companies":[17],"and":[18,25,37,50],"academics":[20],"due":[21],"to":[22,54],"challenges":[24],"opportunities":[26],"it":[27],"possesses.":[28],"In":[29],"this":[30],"study,":[31],"we":[32,62],"applied":[33],"lexicon":[34],"based":[35],"method":[36],"Machine":[38],"learning":[39],"algorithms":[40],"that":[41,64],"are":[42],"support":[43],"vector":[44],"machine,":[45],"naive":[46],"bayes,":[47],"logistic":[48],"regression":[49],"decision":[51],"tree":[52],"methods":[53],"various":[55],"sized":[56],"Turkish":[57],"datasets.":[58],"As":[59],"a":[60],"result,":[61],"observed":[63],"Logistic":[66],"Regression":[67],"algorithm":[68],"gave":[69],"best":[71],"result":[72],"with":[73],"accuracy":[75],"of":[76],"%77.35.":[77]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
