{"id":"https://openalex.org/W2972462537","doi":"https://doi.org/10.1186/s40537-019-0246-8","title":"Evaluating the performance of sentence level features and domain sensitive features of product reviews on supervised sentiment analysis tasks","display_name":"Evaluating the performance of sentence level features and domain sensitive features of product reviews on supervised sentiment analysis tasks","publication_year":2019,"publication_date":"2019-09-12","ids":{"openalex":"https://openalex.org/W2972462537","doi":"https://doi.org/10.1186/s40537-019-0246-8","mag":"2972462537"},"language":"en","primary_location":{"id":"doi:10.1186/s40537-019-0246-8","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-019-0246-8","pdf_url":"https://journalofbigdata.springeropen.com/track/pdf/10.1186/s40537-019-0246-8","source":{"id":"https://openalex.org/S2737955091","display_name":"Journal Of Big Data","issn_l":"2196-1115","issn":["2196-1115"],"is_oa":true,"is_in_doaj":true,"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":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Big Data","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://journalofbigdata.springeropen.com/track/pdf/10.1186/s40537-019-0246-8","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5034238074","display_name":"Bagus Setya Rintyarna","orcid":"https://orcid.org/0000-0002-3275-0995"},"institutions":[{"id":"https://openalex.org/I166843116","display_name":"Sepuluh Nopember Institute of Technology","ror":"https://ror.org/05kbmmt89","country_code":"ID","type":"education","lineage":["https://openalex.org/I166843116"]},{"id":"https://openalex.org/I4210108816","display_name":"Universitas Muhammadiyah Jember","ror":"https://ror.org/021p32893","country_code":"ID","type":"education","lineage":["https://openalex.org/I4210108816"]}],"countries":["ID"],"is_corresponding":true,"raw_author_name":"Bagus Setya Rintyarna","raw_affiliation_strings":["Department of Electrical Engineering, Universitas Muhammadiyah Jember, Jember, Indonesia","Department of Informatics, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia"],"raw_orcid":"https://orcid.org/0000-0002-3275-0995","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Universitas Muhammadiyah Jember, Jember, Indonesia","institution_ids":["https://openalex.org/I4210108816"]},{"raw_affiliation_string":"Department of Informatics, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia","institution_ids":["https://openalex.org/I166843116"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000266116","display_name":"Riyanarto Sarno","orcid":"https://orcid.org/0000-0001-5373-660X"},"institutions":[{"id":"https://openalex.org/I166843116","display_name":"Sepuluh Nopember Institute of Technology","ror":"https://ror.org/05kbmmt89","country_code":"ID","type":"education","lineage":["https://openalex.org/I166843116"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Riyanarto Sarno","raw_affiliation_strings":["Department of Informatics, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Informatics, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia","institution_ids":["https://openalex.org/I166843116"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065837975","display_name":"Chastine Fatichah","orcid":"https://orcid.org/0000-0002-7348-9762"},"institutions":[{"id":"https://openalex.org/I166843116","display_name":"Sepuluh Nopember Institute of Technology","ror":"https://ror.org/05kbmmt89","country_code":"ID","type":"education","lineage":["https://openalex.org/I166843116"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Chastine Fatichah","raw_affiliation_strings":["Department of Informatics, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Informatics, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia","institution_ids":["https://openalex.org/I166843116"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5034238074"],"corresponding_institution_ids":["https://openalex.org/I166843116","https://openalex.org/I4210108816"],"apc_list":{"value":1060,"currency":"GBP","value_usd":1300},"apc_paid":{"value":1060,"currency":"GBP","value_usd":1300},"fwci":2.7584,"has_fulltext":true,"cited_by_count":31,"citation_normalized_percentile":{"value":0.92641436,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"6","issue":"1","first_page":null,"last_page":null},"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9959999918937683,"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":0.988099992275238,"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":0.9060382843017578},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8545582890510559},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6887273192405701},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.6650072336196899},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6542208790779114},{"id":"https://openalex.org/keywords/lexicon","display_name":"Lexicon","score":0.5453881025314331},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5349719524383545},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4922446310520172},{"id":"https://openalex.org/keywords/product","display_name":"Product (mathematics)","score":0.47123464941978455},{"id":"https://openalex.org/keywords/semantic-similarity","display_name":"Semantic similarity","score":0.46630704402923584},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4445560574531555},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.43612876534461975},{"id":"https://openalex.org/keywords/supervised-learning","display_name":"Supervised learning","score":0.4183255732059479},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.35109007358551025},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07688289880752563}],"concepts":[{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.9060382843017578},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8545582890510559},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6887273192405701},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.6650072336196899},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6542208790779114},{"id":"https://openalex.org/C2778121359","wikidata":"https://www.wikidata.org/wiki/Q8096","display_name":"Lexicon","level":2,"score":0.5453881025314331},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5349719524383545},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4922446310520172},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.47123464941978455},{"id":"https://openalex.org/C130318100","wikidata":"https://www.wikidata.org/wiki/Q2268914","display_name":"Semantic similarity","level":2,"score":0.46630704402923584},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4445560574531555},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.43612876534461975},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.4183255732059479},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.35109007358551025},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07688289880752563},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1186/s40537-019-0246-8","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-019-0246-8","pdf_url":"https://journalofbigdata.springeropen.com/track/pdf/10.1186/s40537-019-0246-8","source":{"id":"https://openalex.org/S2737955091","display_name":"Journal Of Big Data","issn_l":"2196-1115","issn":["2196-1115"],"is_oa":true,"is_in_doaj":true,"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":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Big Data","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:7675f9163c8d480187403a40591dfad9","is_oa":true,"landing_page_url":"https://doaj.org/article/7675f9163c8d480187403a40591dfad9","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Journal of Big Data, Vol 6, Iss 1, Pp 1-19 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s40537-019-0246-8","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-019-0246-8","pdf_url":"https://journalofbigdata.springeropen.com/track/pdf/10.1186/s40537-019-0246-8","source":{"id":"https://openalex.org/S2737955091","display_name":"Journal Of Big Data","issn_l":"2196-1115","issn":["2196-1115"],"is_oa":true,"is_in_doaj":true,"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":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Big Data","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320327937","display_name":"Institut Teknologi Sepuluh Nopember","ror":"https://ror.org/05kbmmt89"},{"id":"https://openalex.org/F4320330148","display_name":"Universitas Jember","ror":"https://ror.org/049f0ha78"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2972462537.pdf","grobid_xml":"https://content.openalex.org/works/W2972462537.grobid-xml"},"referenced_works_count":38,"referenced_works":["https://openalex.org/W193524605","https://openalex.org/W1561908597","https://openalex.org/W1633062978","https://openalex.org/W1991418309","https://openalex.org/W2019759670","https://openalex.org/W2022204871","https://openalex.org/W2044429219","https://openalex.org/W2050106721","https://openalex.org/W2062913298","https://openalex.org/W2081580037","https://openalex.org/W2084046180","https://openalex.org/W2106477703","https://openalex.org/W2117862860","https://openalex.org/W2120719430","https://openalex.org/W2133990480","https://openalex.org/W2136480620","https://openalex.org/W2159457224","https://openalex.org/W2172236729","https://openalex.org/W2224584170","https://openalex.org/W2289741972","https://openalex.org/W2465978385","https://openalex.org/W2566964269","https://openalex.org/W2739677115","https://openalex.org/W2741972504","https://openalex.org/W2782777209","https://openalex.org/W2792916349","https://openalex.org/W2794946186","https://openalex.org/W2798892109","https://openalex.org/W2802799390","https://openalex.org/W2892374086","https://openalex.org/W2904592940","https://openalex.org/W2907687474","https://openalex.org/W2921140414","https://openalex.org/W2963337756","https://openalex.org/W2999212984","https://openalex.org/W3004811331","https://openalex.org/W4239523726","https://openalex.org/W6948018739"],"related_works":["https://openalex.org/W2140536630","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"],"abstract_inverted_index":{"Abstract":[0],"With":[1],"the":[2,33,79,82,89,115,125,184,194,210],"popularity":[3],"of":[4,35,81,109,117,127,154,163,193,212],"e-commerce,":[5],"posting":[6],"online":[7,44],"product":[8,45,164,217],"reviews":[9],"expressing":[10],"customer\u2019s":[11,39],"sentiment":[12,40,128,214],"or":[13,41],"opinion":[14,42],"towards":[15],"products":[16],"has":[17,113],"grown":[18],"exponentially.":[19],"Sentiment":[20,52,64],"analysis":[21,53,65,215],"is":[22,66,93],"a":[23,69,94,99,133],"computational":[24],"method":[25,134,171,186],"that":[26,197],"plays":[27],"an":[28],"essential":[29],"role":[30],"in":[31,51,119,156,181],"automating":[32],"extraction":[34],"subjective":[36],"information":[37],"i.e.":[38,202],"from":[43],"reviews.":[46,165,218],"Two":[47],"approaches":[48,57],"commonly":[49],"used":[50],"tasks":[54],"are":[55],"supervised":[56,62,120,213],"and":[58,144,160,204],"lexicon-based":[59],"approaches.":[60],"In":[61],"approaches,":[63],"seen":[67],"as":[68],"text":[70,137],"classification":[71],"task.":[72,122],"The":[73],"result":[74,126],"depends":[75],"not":[76,104],"only":[77],"on":[78,88,216],"robustness":[80],"machine":[83],"learning":[84],"algorithm":[85],"but":[86],"also":[87],"utilized":[90,96],"features.":[91,97],"Bag-of-word":[92],"common":[95],"As":[98],"statistical":[100],"feature,":[101],"bag-of-word":[102],"does":[103],"take":[105,150],"into":[106,151],"account":[107,152],"semantic":[108,118,153,200],"words.":[110],"Previous":[111],"research":[112],"indicated":[114,196],"potential":[116],"SA":[121],"To":[123],"augment":[124],"analysis,":[129],"this":[130],"paper":[131],"proposes":[132],"to":[135,174,189],"extract":[136,175],"features":[138,142,147,201],"named":[139],"sentence":[140,158],"level":[141,159,162],"(SLF)":[143],"domain":[145,161],"sensitive":[146],"(DSF)":[148],"which":[149],"words":[155],"both":[157],"A":[166],"word":[167],"sense":[168],"disambiguation":[169],"based":[170],"was":[172,187],"adapted":[173],"SLF.":[176],"For":[177],"every":[178],"similarity":[179],"employed":[180],"generating":[182],"SLF,":[183],"SentiCircle-based":[185],"enhanced":[188],"generate":[190],"DSF.":[191],"Results":[192],"experiments":[195],"our":[198],"proposed":[199],"SLF":[203,205],"+":[206],"DSF":[207],"favorably":[208],"increase":[209],"performance":[211]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":7}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}