{"id":"https://openalex.org/W4236941202","doi":"https://doi.org/10.5121/mlaij.2015.2201","title":"Feature Selection and Classification Approach for Sentiment Analysis","display_name":"Feature Selection and Classification Approach for Sentiment Analysis","publication_year":2015,"publication_date":"2015-06-30","ids":{"openalex":"https://openalex.org/W4236941202","doi":"https://doi.org/10.5121/mlaij.2015.2201"},"language":"en","primary_location":{"id":"doi:10.5121/mlaij.2015.2201","doi":"https://doi.org/10.5121/mlaij.2015.2201","is_oa":true,"landing_page_url":"https://doi.org/10.5121/mlaij.2015.2201","pdf_url":"https://doi.org/10.5121/mlaij.2015.2201","source":{"id":"https://openalex.org/S4210225372","display_name":"Machine Learning and Applications An International Journal","issn_l":"2394-0840","issn":["2394-0840"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning and Applications: An International Journal","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.5121/mlaij.2015.2201","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5033449561","display_name":"Gautami Tripathi","orcid":"https://orcid.org/0000-0001-7140-1563","observed_orcids":["https://orcid.org/0000-0001-7140-1563"]},"institutions":[{"id":"https://openalex.org/I155125381","display_name":"Galgotias University","ror":"https://ror.org/02w8ba206","country_code":"IN","type":"education","lineage":["https://openalex.org/I155125381"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Gautami Tripathi","raw_affiliation_strings":["Assistant Professor, School of Computing Science and Engineering, Galgotias University, Greater Noida, Uttar Pradesh","PG Scholar, School of Computing Science and Engineering, Galgotias University, Greater Noida, Uttar Pradesh"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Assistant Professor, School of Computing Science and Engineering, Galgotias University, Greater Noida, Uttar Pradesh","institution_ids":["https://openalex.org/I155125381"]},{"raw_affiliation_string":"PG Scholar, School of Computing Science and Engineering, Galgotias University, Greater Noida, Uttar Pradesh","institution_ids":["https://openalex.org/I155125381"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035198297","display_name":"S Naganna","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Naganna S","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.5998,"has_fulltext":true,"cited_by_count":55,"citation_normalized_percentile":{"value":0.96153587,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"2","issue":"2","first_page":"01","last_page":"16"},"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/T11550","display_name":"Text and Document Classification Technologies","score":0.0,"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/T10028","display_name":"Topic Modeling","score":0.0,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"sentiment analysis","score":1.0},{"id":"https://openalex.org/keywords/feature-selection","display_name":"feature selection","score":0.8640000224113464},{"id":"https://openalex.org/keywords/movie-reviews","display_name":"movie reviews","score":0.9210000038146973},{"id":"https://openalex.org/keywords/naive-bayes","display_name":"naive Bayes","score":0.8349999785423279},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"support vector machine","score":0.9440000057220459},{"id":"https://openalex.org/keywords/n-grams","display_name":"n-grams","score":0.8270000219345093},{"id":"https://openalex.org/keywords/text-classification","display_name":"text classification","score":0.746999979019165},{"id":"https://openalex.org/keywords/user-generated-content","display_name":"user-generated content","score":0.8389999866485596}],"concepts":[{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.7533524036407471},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.6723440885543823},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.6280514597892761},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5752876996994019},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5237327218055725},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4389888346195221},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.431826114654541},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37690508365631104},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32764101028442383},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.09252899885177612},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.5121/mlaij.2015.2201","doi":"https://doi.org/10.5121/mlaij.2015.2201","is_oa":true,"landing_page_url":"https://doi.org/10.5121/mlaij.2015.2201","pdf_url":"https://doi.org/10.5121/mlaij.2015.2201","source":{"id":"https://openalex.org/S4210225372","display_name":"Machine Learning and Applications An International Journal","issn_l":"2394-0840","issn":["2394-0840"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning and Applications: An International Journal","raw_type":"journal-article"},{"id":"pmh:oai:zenodo.org:1220931","doi":null,"is_oa":true,"landing_page_url":"https://zenodo.org/record/1220931","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,"listed_in":[],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/article"},{"id":"doi:10.5281/zenodo.1220930","doi":"https://doi.org/10.5281/zenodo.1220930","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.1220930","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,"listed_in":[],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article-journal"},{"id":"doi:10.5281/zenodo.1220931","doi":"https://doi.org/10.5281/zenodo.1220931","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.1220931","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,"listed_in":[],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"doi:10.5121/mlaij.2015.2201","doi":"https://doi.org/10.5121/mlaij.2015.2201","is_oa":true,"landing_page_url":"https://doi.org/10.5121/mlaij.2015.2201","pdf_url":"https://doi.org/10.5121/mlaij.2015.2201","source":{"id":"https://openalex.org/S4210225372","display_name":"Machine Learning and Applications An International Journal","issn_l":"2394-0840","issn":["2394-0840"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning and Applications: An International Journal","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4236941202.pdf","grobid_xml":"https://content.openalex.org/works/W4236941202.grobid-xml"},"referenced_works_count":28,"referenced_works":["https://openalex.org/W1565863475","https://openalex.org/W1605860798","https://openalex.org/W1964613733","https://openalex.org/W1980391298","https://openalex.org/W1988571404","https://openalex.org/W1988772356","https://openalex.org/W2013994393","https://openalex.org/W2048658075","https://openalex.org/W2062951208","https://openalex.org/W2085750684","https://openalex.org/W2086042358","https://openalex.org/W2088622183","https://openalex.org/W2091093708","https://openalex.org/W2097726431","https://openalex.org/W2102134623","https://openalex.org/W2112422413","https://openalex.org/W2113459411","https://openalex.org/W2134854314","https://openalex.org/W2150098611","https://openalex.org/W2155830421","https://openalex.org/W2160660844","https://openalex.org/W2168625136","https://openalex.org/W2168886185","https://openalex.org/W2199803028","https://openalex.org/W2949998441","https://openalex.org/W2951278869","https://openalex.org/W4251539777","https://openalex.org/W4313490656"],"related_works":["https://openalex.org/W4246636076","https://openalex.org/W2325271364","https://openalex.org/W849404001","https://openalex.org/W4399302398","https://openalex.org/W3006996793","https://openalex.org/W1977561632","https://openalex.org/W4400509462","https://openalex.org/W4285815558","https://openalex.org/W2947373202","https://openalex.org/W6893128849"],"abstract_inverted_index":{"Sentiment":[0],"analysis":[1,45,99],"and":[2,10,16,56,76],"Opinion":[3],"mining":[4],"has":[5,27],"emerged":[6],"as":[7],"a":[8,41,50],"popular":[9],"efficient":[11],"technique":[12],"for":[13,31,43,91,97,106],"information":[14],"retrieval":[15],"web":[17],"data":[18,61],"analysis.The":[19],"exponential":[20],"growth":[21],"of":[22,36,46,52,71],"the":[23,34,67,69,89,94,104],"user":[24],"generated":[25],"content":[26],"opened":[28],"new":[29],"horizons":[30],"research":[32],"in":[33,80],"field":[35],"sentiment":[37,44,92,98],"analysis.This":[38],"paper":[39],"proposes":[40],"model":[42,96],"movie":[47],"reviews":[48],"using":[49],"combination":[51,81],"natural":[53],"language":[54],"processing":[55],"machine":[57],"learning":[58],"approaches.Firstly,":[59],"different":[60,83],"pre-processing":[62],"schemes":[63,86],"are":[64],"applied":[65],"on":[66],"dataset.Secondly,":[68],"behaviour":[70],"two":[72],"classifiers,":[73],"Naive":[74],"Bayes":[75],"SVM,":[77],"is":[78,100],"investigated":[79],"with":[82],"feature":[84],"selection":[85],"to":[87,102],"obtain":[88,103],"results":[90,105],"analysis.Thirdly,":[93],"proposed":[95],"extended":[101],"higher":[107],"order":[108],"n-grams.":[109]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":7},{"year":2017,"cited_by_count":6},{"year":2016,"cited_by_count":6}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2022-05-12T00:00:00"}