{"id":"https://openalex.org/W2551978895","doi":null,"title":"On Word Prediction Methods","display_name":"On Word Prediction Methods","publication_year":2011,"publication_date":"2011-01-01","ids":{"openalex":"https://openalex.org/W2551978895","mag":"2551978895"},"language":"en","primary_location":{"id":"pmh:oai:berkeley.edu:28722-bk0010r6q8g","doi":null,"is_oa":false,"landing_page_url":"http://techreports.lib.berkeley.edu/accessPages/EECS-2011-147.html","pdf_url":null,"source":{"id":"https://openalex.org/S7407050879","display_name":"UC Berkeley","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I95457486","host_organization_name":"University of California, Berkeley","host_organization_lineage":["https://openalex.org/I95457486"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"technical reports"},"volume":null,"type":"report","is_traditional":false,"indexed_in":[],"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/A5074316535","display_name":"Darren Kuo","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Darren Kuo","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5074316535"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.888700008392334,"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/T10028","display_name":"Topic Modeling","score":0.888700008392334,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.0892999991774559,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.004000000189989805,"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/word-prediction","display_name":"word prediction","score":0.9990000128746033},{"id":"https://openalex.org/keywords/topic-modeling","display_name":"topic modeling","score":0.8059999942779541},{"id":"https://openalex.org/keywords/co-occurrence","display_name":"co-occurrence","score":0.8080000281333923},{"id":"https://openalex.org/keywords/k-nearest-neighbors","display_name":"k-nearest neighbors","score":0.8989999890327454},{"id":"https://openalex.org/keywords/latent-semantic-indexing","display_name":"latent semantic indexing","score":0.996999979019165},{"id":"https://openalex.org/keywords/similarity-measures","display_name":"similarity measures","score":0.9589999914169312}],"concepts":[{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.7425843477249146},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7284682989120483},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6170451045036316},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5898337960243225},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5446268320083618},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5434785485267639},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.47461143136024475},{"id":"https://openalex.org/C170133592","wikidata":"https://www.wikidata.org/wiki/Q1806883","display_name":"Latent semantic analysis","level":2,"score":0.4681565761566162},{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.4323098361492157},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.353089839220047},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3303454518318176},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12242269515991211},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"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/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","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/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:berkeley.edu:28722-bk0010r6q8g","doi":null,"is_oa":false,"landing_page_url":"http://techreports.lib.berkeley.edu/accessPages/EECS-2011-147.html","pdf_url":null,"source":{"id":"https://openalex.org/S7407050879","display_name":"UC Berkeley","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I95457486","host_organization_name":"University of California, Berkeley","host_organization_lineage":["https://openalex.org/I95457486"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"technical reports"},{"id":"mag:2551978895","doi":null,"is_oa":false,"landing_page_url":"http://digitalassets.lib.berkeley.edu/techreports/ucb/text/EECS-2011-147.pdf","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W100415715","https://openalex.org/W1546703457","https://openalex.org/W1550206324","https://openalex.org/W1557759681","https://openalex.org/W1854214752","https://openalex.org/W1880262756","https://openalex.org/W1999432334","https://openalex.org/W2005422315","https://openalex.org/W2022322548","https://openalex.org/W2063392856","https://openalex.org/W2107743791","https://openalex.org/W2108346334","https://openalex.org/W2114535528","https://openalex.org/W2165888424"],"related_works":["https://openalex.org/W7095929091","https://openalex.org/W3171041805","https://openalex.org/W7035335072","https://openalex.org/W2127357421","https://openalex.org/W2950386031","https://openalex.org/W1972677112","https://openalex.org/W7095470123","https://openalex.org/W2149085082","https://openalex.org/W6945044349","https://openalex.org/W4400004212"],"abstract_inverted_index":{"This":[0],"paper":[1],"evaluates":[2],"prediction":[3,17,60],"and":[4,23,37],"topic":[5],"modelling":[6],"methods":[7],"through":[8],"the":[9,48,56,67],"task":[10],"of":[11,30,34,50,58],"word":[12,16],"prediction.":[13],"In":[14],"our":[15,59],"experiment,":[18],"we":[19,46,69],"compare":[20],"some":[21],"existing":[22],"two":[24,32],"novel":[25],"methods,":[26],"including":[27],"a":[28,42],"version":[29],"Cooccurrence,":[31],"versions":[33],"K-Nearest-Neighbor":[35],"method":[36],"Latent":[38],"semantic":[39],"indexing,":[40],"against":[41],"baseline":[43],"algorithm.":[44],"Furthermore,":[45],"explore":[47],"effects":[49],"using":[51],"different":[52],"similarity":[53],"functions":[54],"on":[55,77],"accuracies":[57],"methods.":[61],"Finally,":[62],"without":[63],"much":[64],"modifications":[65],"to":[66,73],"framework,":[68],"were":[70],"also":[71],"able":[72],"perform":[74],"tag":[75],"classification":[76],"StackOverflow":[78],"posts.":[79]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2026-11-03T10:50:19.383937","created_date":"2016-11-30T00:00:00"}
