{"id":"https://openalex.org/W2535898004","doi":"https://doi.org/10.1145/2983323.2983875","title":"Personalized Semantic Word Vectors","display_name":"Personalized Semantic Word Vectors","publication_year":2016,"publication_date":"2016-10-24","ids":{"openalex":"https://openalex.org/W2535898004","doi":"https://doi.org/10.1145/2983323.2983875","mag":"2535898004"},"language":"en","primary_location":{"id":"doi:10.1145/2983323.2983875","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2983323.2983875","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 25th ACM International on Conference on Information and Knowledge Management","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/A5074501098","display_name":"Javid Ebrahimi","orcid":null},"institutions":[{"id":"https://openalex.org/I181233156","display_name":"University of Oregon","ror":"https://ror.org/0293rh119","country_code":"US","type":"education","lineage":["https://openalex.org/I181233156"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Javid Ebrahimi","raw_affiliation_strings":["University of Oregon, Eugene, OR, USA"],"affiliations":[{"raw_affiliation_string":"University of Oregon, Eugene, OR, USA","institution_ids":["https://openalex.org/I181233156"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066063885","display_name":"Dejing Dou","orcid":"https://orcid.org/0000-0001-7561-1672"},"institutions":[{"id":"https://openalex.org/I181233156","display_name":"University of Oregon","ror":"https://ror.org/0293rh119","country_code":"US","type":"education","lineage":["https://openalex.org/I181233156"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dejing Dou","raw_affiliation_strings":["University of Oregon, Eugene, OR, USA"],"affiliations":[{"raw_affiliation_string":"University of Oregon, Eugene, OR, USA","institution_ids":["https://openalex.org/I181233156"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5074501098"],"corresponding_institution_ids":["https://openalex.org/I181233156"],"apc_list":null,"apc_paid":null,"fwci":0.8568,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.84282253,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"31","issue":null,"first_page":"1925","last_page":"1928"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12380","display_name":"Authorship Attribution and Profiling","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/T12380","display_name":"Authorship Attribution and Profiling","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/T10028","display_name":"Topic Modeling","score":0.9991000294685364,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9984999895095825,"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/computer-science","display_name":"Computer science","score":0.8166135549545288},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.7660999298095703},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6784956455230713},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6643193960189819},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.5156480073928833},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.48994773626327515},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.47610199451446533},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4632837176322937},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4438360631465912},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.39431577920913696},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.13781684637069702},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.08695602416992188}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8166135549545288},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.7660999298095703},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6784956455230713},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6643193960189819},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.5156480073928833},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.48994773626327515},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.47610199451446533},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4632837176322937},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4438360631465912},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.39431577920913696},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.13781684637069702},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.08695602416992188},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2983323.2983875","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2983323.2983875","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 25th ACM International on Conference on Information and Knowledge Management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.5600000023841858}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W35815809","https://openalex.org/W75183690","https://openalex.org/W155548076","https://openalex.org/W595011825","https://openalex.org/W963972349","https://openalex.org/W1528377600","https://openalex.org/W1880262756","https://openalex.org/W1904206872","https://openalex.org/W1975984765","https://openalex.org/W1979552911","https://openalex.org/W1998300331","https://openalex.org/W1999180776","https://openalex.org/W2017055683","https://openalex.org/W2061820396","https://openalex.org/W2076006872","https://openalex.org/W2076393877","https://openalex.org/W2081674086","https://openalex.org/W2089670717","https://openalex.org/W2091812280","https://openalex.org/W2104789869","https://openalex.org/W2106075001","https://openalex.org/W2113459411","https://openalex.org/W2116876181","https://openalex.org/W2120615054","https://openalex.org/W2135375808","https://openalex.org/W2136548128","https://openalex.org/W2140124448","https://openalex.org/W2146980963","https://openalex.org/W2147408739","https://openalex.org/W2153579005","https://openalex.org/W2158139315","https://openalex.org/W2162051395","https://openalex.org/W2166706824","https://openalex.org/W2168968718","https://openalex.org/W2182417295","https://openalex.org/W2250325507","https://openalex.org/W2250481785","https://openalex.org/W2250500327","https://openalex.org/W2250539671","https://openalex.org/W2250553926","https://openalex.org/W2251292973","https://openalex.org/W2251939518","https://openalex.org/W2252191003","https://openalex.org/W2252235528","https://openalex.org/W2285811961","https://openalex.org/W2291220750","https://openalex.org/W2949547296","https://openalex.org/W2950797609","https://openalex.org/W3025691921","https://openalex.org/W3104717349","https://openalex.org/W4285719527","https://openalex.org/W4294183730"],"related_works":["https://openalex.org/W2062195135","https://openalex.org/W2375480909","https://openalex.org/W2353314428","https://openalex.org/W2012019886","https://openalex.org/W3147584709","https://openalex.org/W2166090428","https://openalex.org/W1569283511","https://openalex.org/W2381021552","https://openalex.org/W2354749003","https://openalex.org/W2377121353"],"abstract_inverted_index":{"Distributed":[0],"word":[1,19,38,63,67,102],"representations":[2,103],"are":[3],"able":[4],"to":[5,95,115],"capture":[6],"syntactic":[7],"and":[8,62,130],"semantic":[9],"regularities":[10],"in":[11,32],"text.":[12],"In":[13],"this":[14,135],"paper,":[15],"we":[16,71,98],"present":[17],"a":[18,53,73,127,143],"representation":[20],"scheme":[21],"that":[22,86],"incorporates":[23],"authorship":[24,106,110],"information.":[25],"While":[26],"maintaining":[27],"similarity":[28],"among":[29],"related":[30],"words":[31],"the":[33,105,123,132],"induced":[34],"distributed":[35],"space,":[36],"our":[37,140],"vectors":[39,64],"can":[40,99],"be":[41,116],"effectively":[42],"used":[43],"for":[44,104,118],"some":[45],"text":[46],"classification":[47],"tasks":[48],"too.":[49],"We":[50,84,121],"build":[51],"on":[52,66,142],"log-bilinear":[54,74],"document":[55,60,96],"model":[56,76,125,137],"(lbDm),":[57],"which":[58,78],"extracts":[59],"features,":[61],"based":[65],"co-occurrence":[68],"counts.":[69],"First,":[70],"propose":[72],"author":[75,82,90,124],"(lbAm),":[77],"contains":[79],"an":[80],"additional":[81],"matrix.":[83],"show":[85],"by":[87],"directly":[88],"learning":[89],"feature":[91],"vectors,":[92,97],"as":[93],"opposed":[94],"learn":[100],"better":[101],"attribution":[107],"task.":[108],"Furthermore,":[109],"information":[111],"has":[112],"been":[113],"found":[114],"useful":[117],"sentiment":[119,128],"classification.":[120],"enrich":[122],"with":[126],"tensor,":[129],"demonstrate":[131],"effectiveness":[133],"of":[134],"hybrid":[136],"(lbHm)":[138],"through":[139],"experiments":[141],"movie":[144],"review-classification":[145],"dataset.":[146]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"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"}