{"id":"https://openalex.org/W2767841318","doi":"https://doi.org/10.1109/ase.2017.8115623","title":"SentiCR: A customized sentiment analysis tool for code review interactions","display_name":"SentiCR: A customized sentiment analysis tool for code review interactions","publication_year":2017,"publication_date":"2017-10-01","ids":{"openalex":"https://openalex.org/W2767841318","doi":"https://doi.org/10.1109/ase.2017.8115623","mag":"2767841318"},"language":"en","primary_location":{"id":"doi:10.1109/ase.2017.8115623","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ase.2017.8115623","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 32nd IEEE/ACM International Conference on Automated Software Engineering (ASE)","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/A5072573553","display_name":"Toufique Ahmed","orcid":"https://orcid.org/0000-0002-4427-1350"},"institutions":[{"id":"https://openalex.org/I183697816","display_name":"Bangladesh University of Engineering and Technology","ror":"https://ror.org/05a1qpv97","country_code":"BD","type":"education","lineage":["https://openalex.org/I183697816"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Toufique Ahmed","raw_affiliation_strings":["Department of Computer Science & Engineering, Bangladesh University of Engineering and Technology, Dhaka, Bangladesh"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science & Engineering, Bangladesh University of Engineering and Technology, Dhaka, Bangladesh","institution_ids":["https://openalex.org/I183697816"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078536980","display_name":"Amiangshu Bosu","orcid":"https://orcid.org/0000-0002-3178-6232"},"institutions":[{"id":"https://openalex.org/I110378019","display_name":"Southern Illinois University Carbondale","ror":"https://ror.org/049kefs16","country_code":"US","type":"education","lineage":["https://openalex.org/I110378019","https://openalex.org/I2801502357"]},{"id":"https://openalex.org/I4210094983","display_name":"ScienceSouth","ror":"https://ror.org/00my6s217","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210094983"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Amiangshu Bosu","raw_affiliation_strings":["Department of Computer Science, Southern Illinois University, Carbondale, IL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Southern Illinois University, Carbondale, IL, USA","institution_ids":["https://openalex.org/I110378019","https://openalex.org/I4210094983"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027377957","display_name":"Anindya Iqbal","orcid":"https://orcid.org/0000-0002-2763-8819"},"institutions":[{"id":"https://openalex.org/I183697816","display_name":"Bangladesh University of Engineering and Technology","ror":"https://ror.org/05a1qpv97","country_code":"BD","type":"education","lineage":["https://openalex.org/I183697816"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Anindya Iqbal","raw_affiliation_strings":["Department of Computer Science & Engineering, Bangladesh University of Engineering and Technology, Dhaka, Bangladesh"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science & Engineering, Bangladesh University of Engineering and Technology, Dhaka, Bangladesh","institution_ids":["https://openalex.org/I183697816"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112057472","display_name":"Shahram Rahimi","orcid":null},"institutions":[{"id":"https://openalex.org/I110378019","display_name":"Southern Illinois University Carbondale","ror":"https://ror.org/049kefs16","country_code":"US","type":"education","lineage":["https://openalex.org/I110378019","https://openalex.org/I2801502357"]},{"id":"https://openalex.org/I4210094983","display_name":"ScienceSouth","ror":"https://ror.org/00my6s217","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210094983"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shahram Rahimi","raw_affiliation_strings":["Department of Computer Science, Southern Illinois University, Carbondale, IL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Southern Illinois University, Carbondale, IL, USA","institution_ids":["https://openalex.org/I110378019","https://openalex.org/I4210094983"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":19.7495,"has_fulltext":false,"cited_by_count":132,"citation_normalized_percentile":{"value":0.99271586,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"106","last_page":"111"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10260","display_name":"Software Engineering Research","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10260","display_name":"Software Engineering Research","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9976000189781189,"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":0.9815999865531921,"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":0.8851513862609863},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7929912209510803},{"id":"https://openalex.org/keywords/gradient-boosting","display_name":"Gradient boosting","score":0.586443305015564},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5138757228851318},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5105663537979126},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.5095670223236084},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.4981825351715088},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4976101219654083},{"id":"https://openalex.org/keywords/recall","display_name":"Recall","score":0.4869860112667084},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.4743838608264923},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.4659382402896881},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4213997721672058},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.328401118516922},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.278083860874176},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.1992017924785614}],"concepts":[{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.8851513862609863},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7929912209510803},{"id":"https://openalex.org/C70153297","wikidata":"https://www.wikidata.org/wiki/Q5591907","display_name":"Gradient boosting","level":3,"score":0.586443305015564},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5138757228851318},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5105663537979126},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.5095670223236084},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.4981825351715088},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4976101219654083},{"id":"https://openalex.org/C100660578","wikidata":"https://www.wikidata.org/wiki/Q18733","display_name":"Recall","level":2,"score":0.4869860112667084},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.4743838608264923},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.4659382402896881},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4213997721672058},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.328401118516922},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.278083860874176},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.1992017924785614},{"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ase.2017.8115623","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ase.2017.8115623","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 32nd IEEE/ACM International Conference on Automated Software Engineering (ASE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/1","score":0.6000000238418579,"display_name":"No poverty"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":64,"referenced_works":["https://openalex.org/W66373487","https://openalex.org/W1498436455","https://openalex.org/W1572786359","https://openalex.org/W1743243001","https://openalex.org/W1952075326","https://openalex.org/W1975879668","https://openalex.org/W1983175439","https://openalex.org/W2000471262","https://openalex.org/W2005311637","https://openalex.org/W2010321946","https://openalex.org/W2013416264","https://openalex.org/W2020703761","https://openalex.org/W2032959067","https://openalex.org/W2033569712","https://openalex.org/W2043223258","https://openalex.org/W2084046180","https://openalex.org/W2091990486","https://openalex.org/W2097726431","https://openalex.org/W2098921539","https://openalex.org/W2099813784","https://openalex.org/W2101234009","https://openalex.org/W2102125364","https://openalex.org/W2104167780","https://openalex.org/W2105400090","https://openalex.org/W2106095291","https://openalex.org/W2108646579","https://openalex.org/W2111975591","https://openalex.org/W2113158453","https://openalex.org/W2114080886","https://openalex.org/W2114524997","https://openalex.org/W2125886624","https://openalex.org/W2136903812","https://openalex.org/W2143017621","https://openalex.org/W2143040155","https://openalex.org/W2145139979","https://openalex.org/W2146649871","https://openalex.org/W2148143831","https://openalex.org/W2155328222","https://openalex.org/W2160660844","https://openalex.org/W2163455955","https://openalex.org/W2164777277","https://openalex.org/W2166706824","https://openalex.org/W2202473840","https://openalex.org/W2733078680","https://openalex.org/W2949998441","https://openalex.org/W2951299559","https://openalex.org/W3099880460","https://openalex.org/W3105551542","https://openalex.org/W3146306708","https://openalex.org/W4205184193","https://openalex.org/W4211186029","https://openalex.org/W4235786747","https://openalex.org/W4239946314","https://openalex.org/W4240462264","https://openalex.org/W4251372957","https://openalex.org/W4285719527","https://openalex.org/W6629815555","https://openalex.org/W6637805623","https://openalex.org/W6655754627","https://openalex.org/W6675354045","https://openalex.org/W6676941106","https://openalex.org/W6680202767","https://openalex.org/W6687912567","https://openalex.org/W6764146914"],"related_works":["https://openalex.org/W2967733078","https://openalex.org/W3204430031","https://openalex.org/W3137904399","https://openalex.org/W4310492845","https://openalex.org/W2885778889","https://openalex.org/W2766514146","https://openalex.org/W2885516856","https://openalex.org/W4289703016","https://openalex.org/W4310224730","https://openalex.org/W1985505753"],"abstract_inverted_index":{"Sentiment":[0],"Analysis":[1],"tools,":[2],"developed":[3],"for":[4,36,42,91],"analyzing":[5],"social":[6],"media":[7],"text":[8],"or":[9],"product":[10],"reviews,":[11],"work":[12],"poorly":[13],"on":[14],"a":[15,34,37,57,85,110],"Software":[16],"Engineering":[17],"(SE)":[18],"dataset.":[19],"Since":[20],"prior":[21],"studies":[22],"have":[23],"found":[24,109],"developers":[25],"expressing":[26],"sentiments":[27],"during":[28],"various":[29],"SE":[30,44],"activities,":[31],"there":[32],"is":[33],"need":[35],"customized":[38],"sentiment":[39,68,77,86],"analysis":[40,69,78,87],"tool":[41,88],"the":[43,75,114,121,126,132],"domain.":[45],"On":[46],"this":[47],"goal,":[48],"we":[49],"manually":[50],"labeled":[51],"2000":[52],"review":[53,93,140],"comments":[54],"to":[55,64,82],"build":[56,83],"training":[58],"dataset":[59,63],"and":[60,131],"used":[61],"our":[62],"evaluate":[65],"seven":[66],"popular":[67],"tools.":[70],"The":[71],"poor":[72],"performances":[73],"of":[74,103],"existing":[76],"tools":[79],"motivated":[80],"us":[81],"SentiCR,":[84],"especially":[89],"designed":[90],"code":[92],"comments.":[94,141],"We":[95,108],"evaluated":[96],"SentiCR":[97],"using":[98,113],"one":[99],"hundred":[100],"10-fold":[101],"cross-validations":[102],"eight":[104],"supervised":[105],"learning":[106],"algorithms.":[107],"model,":[111],"trained":[112],"Gradient":[115],"Boosting":[116],"Tree":[117],"(GBT)":[118],"algorithm,":[119],"providing":[120],"highest":[122,127,133],"mean":[123,128,134],"accuracy":[124],"(83%),":[125],"precision":[129],"(67.8%),":[130],"recall":[135],"(58.4%)":[136],"in":[137],"identifying":[138],"negative":[139]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":15},{"year":2024,"cited_by_count":17},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":21},{"year":2021,"cited_by_count":31},{"year":2020,"cited_by_count":14},{"year":2019,"cited_by_count":16},{"year":2018,"cited_by_count":9}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}