{"id":"https://openalex.org/W4391141590","doi":"https://doi.org/10.7717/peerj-cs.1745","title":"Identification of significant features and machine learning technique in predicting helpful reviews","display_name":"Identification of significant features and machine learning technique in predicting helpful reviews","publication_year":2024,"publication_date":"2024-01-23","ids":{"openalex":"https://openalex.org/W4391141590","doi":"https://doi.org/10.7717/peerj-cs.1745","pmid":"https://pubmed.ncbi.nlm.nih.gov/39669454"},"language":"en","primary_location":{"id":"doi:10.7717/peerj-cs.1745","is_oa":true,"landing_page_url":"https://doi.org/10.7717/peerj-cs.1745","pdf_url":"https://peerj.com/articles/cs-1745.pdf","source":{"id":"https://openalex.org/S4210178049","display_name":"PeerJ Computer Science","issn_l":"2376-5992","issn":["2376-5992"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320104","host_organization_name":"PeerJ, Inc.","host_organization_lineage":["https://openalex.org/P4310320104"],"host_organization_lineage_names":["PeerJ, Inc."],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"PeerJ Computer Science","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://peerj.com/articles/cs-1745.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5016168680","display_name":"Shah Jafor Sadeek Quaderi","orcid":"https://orcid.org/0009-0004-5841-8060"},"institutions":[{"id":"https://openalex.org/I33849332","display_name":"University of Malaya","ror":"https://ror.org/00rzspn62","country_code":"MY","type":"education","lineage":["https://openalex.org/I33849332"]}],"countries":["MY"],"is_corresponding":true,"raw_author_name":"Shah Jafor Sadeek Quaderi","raw_affiliation_strings":["Department of Information Systems, Faculty of Computer Science & Information Technology, Universiti Malaya, Kuala Lumpur, Malaysia"],"affiliations":[{"raw_affiliation_string":"Department of Information Systems, Faculty of Computer Science & Information Technology, Universiti Malaya, Kuala Lumpur, Malaysia","institution_ids":["https://openalex.org/I33849332"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041429327","display_name":"Kasturi Dewi Varathan","orcid":"https://orcid.org/0000-0003-3421-4501"},"institutions":[{"id":"https://openalex.org/I33849332","display_name":"University of Malaya","ror":"https://ror.org/00rzspn62","country_code":"MY","type":"education","lineage":["https://openalex.org/I33849332"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Kasturi Dewi Varathan","raw_affiliation_strings":["Department of Information Systems, Faculty of Computer Science & Information Technology, Universiti Malaya, Kuala Lumpur, Malaysia"],"affiliations":[{"raw_affiliation_string":"Department of Information Systems, Faculty of Computer Science & Information Technology, Universiti Malaya, Kuala Lumpur, Malaysia","institution_ids":["https://openalex.org/I33849332"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5016168680"],"corresponding_institution_ids":["https://openalex.org/I33849332"],"apc_list":{"value":1395,"currency":"USD","value_usd":1395},"apc_paid":{"value":1395,"currency":"USD","value_usd":1395},"fwci":5.412,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.94829168,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"10","issue":null,"first_page":"e1745","last_page":"e1745"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10609","display_name":"Digital Marketing and Social Media","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10609","display_name":"Digital Marketing and Social Media","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9980000257492065,"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/T10068","display_name":"Technology Adoption and User Behaviour","score":0.9954000115394592,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.731004536151886},{"id":"https://openalex.org/keywords/readability","display_name":"Readability","score":0.6437968015670776},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5893095135688782},{"id":"https://openalex.org/keywords/metadata","display_name":"Metadata","score":0.5737978219985962},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.5320091247558594},{"id":"https://openalex.org/keywords/product","display_name":"Product (mathematics)","score":0.5191947221755981},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.46011027693748474},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4491743743419647},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4447776675224304},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.42174673080444336},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4003177285194397},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.2724623680114746}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.731004536151886},{"id":"https://openalex.org/C2778143727","wikidata":"https://www.wikidata.org/wiki/Q1820650","display_name":"Readability","level":2,"score":0.6437968015670776},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5893095135688782},{"id":"https://openalex.org/C93518851","wikidata":"https://www.wikidata.org/wiki/Q180160","display_name":"Metadata","level":2,"score":0.5737978219985962},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.5320091247558594},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.5191947221755981},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.46011027693748474},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4491743743419647},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4447776675224304},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.42174673080444336},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4003177285194397},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.2724623680114746},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.7717/peerj-cs.1745","is_oa":true,"landing_page_url":"https://doi.org/10.7717/peerj-cs.1745","pdf_url":"https://peerj.com/articles/cs-1745.pdf","source":{"id":"https://openalex.org/S4210178049","display_name":"PeerJ Computer Science","issn_l":"2376-5992","issn":["2376-5992"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320104","host_organization_name":"PeerJ, Inc.","host_organization_lineage":["https://openalex.org/P4310320104"],"host_organization_lineage_names":["PeerJ, Inc."],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"PeerJ Computer Science","raw_type":"journal-article"},{"id":"pmid:39669454","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/39669454","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"PeerJ. Computer science","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:11636698","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/11636698","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC11636698/pdf/peerj-cs-10-1745.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"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":"PeerJ Comput Sci","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:cdbdce37b7ab47628f9dd7261a8cf0ca","is_oa":true,"landing_page_url":"https://doaj.org/article/cdbdce37b7ab47628f9dd7261a8cf0ca","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"PeerJ Computer Science, Vol 10, p e1745 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.7717/peerj-cs.1745","is_oa":true,"landing_page_url":"https://doi.org/10.7717/peerj-cs.1745","pdf_url":"https://peerj.com/articles/cs-1745.pdf","source":{"id":"https://openalex.org/S4210178049","display_name":"PeerJ Computer Science","issn_l":"2376-5992","issn":["2376-5992"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320104","host_organization_name":"PeerJ, Inc.","host_organization_lineage":["https://openalex.org/P4310320104"],"host_organization_lineage_names":["PeerJ, Inc."],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"PeerJ Computer Science","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.46000000834465027}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4391141590.pdf"},"referenced_works_count":98,"referenced_works":["https://openalex.org/W117528073","https://openalex.org/W1484930183","https://openalex.org/W1565148102","https://openalex.org/W1580434863","https://openalex.org/W1671770126","https://openalex.org/W1854126131","https://openalex.org/W1973172848","https://openalex.org/W1999615887","https://openalex.org/W2019765113","https://openalex.org/W2019983800","https://openalex.org/W2021093430","https://openalex.org/W2030387474","https://openalex.org/W2037858832","https://openalex.org/W2046122205","https://openalex.org/W2075964046","https://openalex.org/W2089902509","https://openalex.org/W2116036660","https://openalex.org/W2116401198","https://openalex.org/W2162857814","https://openalex.org/W2163114435","https://openalex.org/W2163302275","https://openalex.org/W2201929092","https://openalex.org/W2250790948","https://openalex.org/W2250942234","https://openalex.org/W2341749105","https://openalex.org/W2509632655","https://openalex.org/W2516915205","https://openalex.org/W2573059658","https://openalex.org/W2588336250","https://openalex.org/W2607272177","https://openalex.org/W2762700563","https://openalex.org/W2794778778","https://openalex.org/W2801315249","https://openalex.org/W2803940518","https://openalex.org/W2810318119","https://openalex.org/W2895156792","https://openalex.org/W2898342438","https://openalex.org/W2904363825","https://openalex.org/W2907892213","https://openalex.org/W2909516836","https://openalex.org/W2913356191","https://openalex.org/W2914400218","https://openalex.org/W2916361850","https://openalex.org/W2917544878","https://openalex.org/W2940790545","https://openalex.org/W2943930524","https://openalex.org/W2944502727","https://openalex.org/W2946072066","https://openalex.org/W2950250245","https://openalex.org/W2953094578","https://openalex.org/W2953320089","https://openalex.org/W2953339589","https://openalex.org/W2963949145","https://openalex.org/W2964284628","https://openalex.org/W2965748866","https://openalex.org/W2973187320","https://openalex.org/W2981922997","https://openalex.org/W2985840584","https://openalex.org/W2990663995","https://openalex.org/W2994658578","https://openalex.org/W2995936762","https://openalex.org/W2996158547","https://openalex.org/W3007402675","https://openalex.org/W3014413883","https://openalex.org/W3037725952","https://openalex.org/W3098048737","https://openalex.org/W3116759581","https://openalex.org/W3117341288","https://openalex.org/W3124946654","https://openalex.org/W3127516510","https://openalex.org/W3141714916","https://openalex.org/W4220892601","https://openalex.org/W4225879552","https://openalex.org/W6604692547","https://openalex.org/W6634052221","https://openalex.org/W6634675100","https://openalex.org/W6643570753","https://openalex.org/W6655616176","https://openalex.org/W6660225510","https://openalex.org/W6673156742","https://openalex.org/W6677064802","https://openalex.org/W6677292530","https://openalex.org/W6683755710","https://openalex.org/W6684149856","https://openalex.org/W6691167705","https://openalex.org/W6691280726","https://openalex.org/W6704306058","https://openalex.org/W6732224612","https://openalex.org/W6734614284","https://openalex.org/W6754916336","https://openalex.org/W6755314416","https://openalex.org/W6758943350","https://openalex.org/W6759295917","https://openalex.org/W6769550350","https://openalex.org/W6771891290","https://openalex.org/W6787628662","https://openalex.org/W6790440490","https://openalex.org/W6983682869"],"related_works":["https://openalex.org/W1964661231","https://openalex.org/W4254960163","https://openalex.org/W3110264473","https://openalex.org/W2999103397","https://openalex.org/W2370831213","https://openalex.org/W4315704968","https://openalex.org/W4285478380","https://openalex.org/W2100255360","https://openalex.org/W2032810564","https://openalex.org/W2107506952"],"abstract_inverted_index":{"Consumers":[0],"nowadays":[1],"rely":[2],"heavily":[3],"on":[4,28,141],"online":[5,29,81,133],"reviews":[6,23,49,79],"in":[7,73,90,105,158],"making":[8,74],"their":[9],"purchase":[10,76],"decisions.":[11],"However,":[12],"they":[13],"are":[14,25,82],"often":[15],"overwhelmed":[16],"by":[17,169],"the":[18,38,46,71,91,159],"mass":[19],"amount":[20,86],"of":[21,48,87,148,175],"product":[22],"that":[24,50,69,101,127],"being":[26],"generated":[27],"platforms.":[30],"Therefore,":[31],"it":[32,42,65],"is":[33,58,115],"deemed":[34],"essential":[35],"to":[36,54,130,164],"determine":[37],"helpful":[39,62,107,132],"reviews,":[40],"as":[41,60,117,120],"will":[43],"significantly":[44],"reduce":[45],"number":[47],"each":[51,146],"consumer":[52],"has":[53,66,96],"ponder.":[55],"A":[56],"review":[57,63],"identified":[59],"a":[61,75,84],"if":[64],"significant":[67,112,155],"information":[68,88,100,113],"helps":[70],"reader":[72],"decision.":[77],"Many":[78],"posted":[80],"lacking":[83],"sufficient":[85],"used":[89,157,168],"decision-making":[92],"process.":[93],"Past":[94],"research":[95,110],"neglected":[97],"much":[98],"useful":[99],"can":[102],"be":[103],"utilized":[104],"predicting":[106,131],"reviews.":[108,134,153],"This":[109],"identifies":[111],"which":[114],"represented":[116],"features":[118,156],"categorized":[119],"linguistic,":[121],"metadata,":[122],"readability,":[123],"subjectivity,":[124],"and":[125,150],"polarity":[126],"have":[128],"contributed":[129],"Five":[135],"machine":[136],"learning":[137],"models":[138],"were":[139],"compared":[140],"two":[142],"Amazon":[143],"open":[144],"datasets,":[145],"consisting":[147],"9,882,619":[149],"65,222":[151],"user":[152],"The":[154],"Random":[160],"Forest":[161],"technique":[162],"managed":[163],"outperform":[165],"other":[166],"techniques":[167],"previous":[170],"researchers":[171],"with":[172],"an":[173],"accuracy":[174],"89.36%.":[176]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}
