{"id":"https://openalex.org/W2810248345","doi":"https://doi.org/10.1145/3167132.3167182","title":"Sentiment phrase generation using statistical methods","display_name":"Sentiment phrase generation using statistical methods","publication_year":2018,"publication_date":"2018-04-09","ids":{"openalex":"https://openalex.org/W2810248345","doi":"https://doi.org/10.1145/3167132.3167182","mag":"2810248345"},"language":"en","primary_location":{"id":"doi:10.1145/3167132.3167182","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3167132.3167182","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd Annual ACM Symposium on Applied Computing","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/A5032987082","display_name":"Dirk Reinel","orcid":null},"institutions":[{"id":"https://openalex.org/I4210138088","display_name":"Hof University of Applied Sciences","ror":"https://ror.org/04q5vv384","country_code":"DE","type":"education","lineage":["https://openalex.org/I4210138088"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Dirk Reinel","raw_affiliation_strings":["University of Applied Sciences Hof, Hof, Germany"],"affiliations":[{"raw_affiliation_string":"University of Applied Sciences Hof, Hof, Germany","institution_ids":["https://openalex.org/I4210138088"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045270749","display_name":"J\u00f6rg Scheidt","orcid":"https://orcid.org/0000-0001-9742-6080"},"institutions":[{"id":"https://openalex.org/I4210138088","display_name":"Hof University of Applied Sciences","ror":"https://ror.org/04q5vv384","country_code":"DE","type":"education","lineage":["https://openalex.org/I4210138088"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"J\u00f6rg Scheidt","raw_affiliation_strings":["University of Applied Sciences Hof, Hof, Germany"],"affiliations":[{"raw_affiliation_string":"University of Applied Sciences Hof, Hof, Germany","institution_ids":["https://openalex.org/I4210138088"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005937041","display_name":"Andreas Henrich","orcid":"https://orcid.org/0000-0002-5074-3254"},"institutions":[{"id":"https://openalex.org/I94626330","display_name":"University of Bamberg","ror":"https://ror.org/01c1w6d29","country_code":"DE","type":"education","lineage":["https://openalex.org/I94626330"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Andreas Henrich","raw_affiliation_strings":["University of Bamberg, Bamberg, Germany"],"affiliations":[{"raw_affiliation_string":"University of Bamberg, Bamberg, Germany","institution_ids":["https://openalex.org/I94626330"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044756514","display_name":"Niko Brucker","orcid":null},"institutions":[{"id":"https://openalex.org/I4210138088","display_name":"Hof University of Applied Sciences","ror":"https://ror.org/04q5vv384","country_code":"DE","type":"education","lineage":["https://openalex.org/I4210138088"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Niko Brucker","raw_affiliation_strings":["University of Applied Sciences Hof, Hof, Germany"],"affiliations":[{"raw_affiliation_string":"University of Applied Sciences Hof, Hof, Germany","institution_ids":["https://openalex.org/I4210138088"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5032987082"],"corresponding_institution_ids":["https://openalex.org/I4210138088"],"apc_list":null,"apc_paid":null,"fwci":0.4887,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.72388235,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"452","last_page":"460"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9973999857902527,"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/T11644","display_name":"Spam and Phishing Detection","score":0.9932000041007996,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8273496627807617},{"id":"https://openalex.org/keywords/lexicon","display_name":"Lexicon","score":0.8221392035484314},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.8053418397903442},{"id":"https://openalex.org/keywords/phrase","display_name":"Phrase","score":0.7658227682113647},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7337979078292847},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.7068836688995361},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.6076868176460266},{"id":"https://openalex.org/keywords/german","display_name":"German","score":0.478115975856781},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.45575255155563354},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.2171010971069336},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07578721642494202}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8273496627807617},{"id":"https://openalex.org/C2778121359","wikidata":"https://www.wikidata.org/wiki/Q8096","display_name":"Lexicon","level":2,"score":0.8221392035484314},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.8053418397903442},{"id":"https://openalex.org/C2776224158","wikidata":"https://www.wikidata.org/wiki/Q187931","display_name":"Phrase","level":2,"score":0.7658227682113647},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7337979078292847},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.7068836688995361},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.6076868176460266},{"id":"https://openalex.org/C154775046","wikidata":"https://www.wikidata.org/wiki/Q188","display_name":"German","level":2,"score":0.478115975856781},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.45575255155563354},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.2171010971069336},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07578721642494202},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3167132.3167182","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3167132.3167182","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd Annual ACM Symposium on Applied Computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.75,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1485628609","https://openalex.org/W1498990157","https://openalex.org/W1524281572","https://openalex.org/W1569655584","https://openalex.org/W2022204871","https://openalex.org/W2077929413","https://openalex.org/W2114068176","https://openalex.org/W2141631351","https://openalex.org/W2141790691","https://openalex.org/W2998574808","https://openalex.org/W4211186029","https://openalex.org/W4233906183"],"related_works":["https://openalex.org/W2315527029","https://openalex.org/W2065387230","https://openalex.org/W2888662092","https://openalex.org/W3205826705","https://openalex.org/W2903394456","https://openalex.org/W2902285665","https://openalex.org/W2150818832","https://openalex.org/W2975174210","https://openalex.org/W2244029015","https://openalex.org/W2287843335"],"abstract_inverted_index":{"In":[0],"this":[1,20],"paper,":[2],"we":[3,28,97],"describe":[4],"a":[5,42,135],"new":[6],"algorithm":[7],"designed":[8],"to":[9,84,100],"generate":[10],"lexical":[11],"resources":[12],"in":[13,82],"the":[14,64,68,75,132],"field":[15],"of":[16,25,54,77,88,134,137],"sentiment":[17,37,52],"analysis.":[18],"For":[19],"approach,":[21],"based":[22],"on":[23,120],"corpora":[24],"customer":[26,142],"reviews,":[27],"determine":[29],"words":[30,122],"and":[31,46,67],"phrases":[32],"as":[33,107],"candidates":[34],"for":[35],"our":[36,89,112],"lexicon":[38,128],"solely":[39],"by":[40,47,92,131],"calculating":[41],"word":[43,49,57,104],"co-occurrence":[44],"measure":[45],"considering":[48],"frequencies.":[50],"The":[51],"values":[53],"every":[55],"single":[56,121],"or":[58,123],"phrase":[59],"are":[60,98],"derived":[61],"automatically":[62],"from":[63,114],"review":[65],"titles":[66],"associated":[69],"given":[70],"ratings.":[71],"We":[72],"consciously":[73],"renounce":[74],"use":[76,133],"natural":[78],"language":[79,86],"processing":[80],"methods":[81],"order":[83],"ensure":[85],"independency":[87],"algorithm.":[90],"Furthermore,":[91],"using":[93],"exclusively":[94],"statistical":[95],"methods,":[96],"able":[99],"identify":[101],"rather":[102],"unusual":[103],"combinations,":[105],"such":[106],"idiomatic":[108],"expressions.":[109],"This":[110],"differentiates":[111],"work":[113],"most":[115],"prior":[116],"approaches":[117],"which":[118],"concentrate":[119],"word-modifier":[124],"combinations.":[125],"An":[126],"example":[127],"is":[129],"generated":[130],"corpus":[136],"1.5":[138],"million":[139],"German":[140],"Amazon":[141],"reviews.":[143]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
