{"id":"https://openalex.org/W2150145018","doi":"https://doi.org/10.1145/1390749.1390758","title":"Uncovering deep user context from blogs","display_name":"Uncovering deep user context from blogs","publication_year":2008,"publication_date":"2008-07-24","ids":{"openalex":"https://openalex.org/W2150145018","doi":"https://doi.org/10.1145/1390749.1390758","mag":"2150145018"},"language":"en","primary_location":{"id":"doi:10.1145/1390749.1390758","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1390749.1390758","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the second workshop on Analytics for noisy unstructured text data","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/A5078772853","display_name":"Robert McArthur","orcid":null},"institutions":[{"id":"https://openalex.org/I1292875679","display_name":"Commonwealth Scientific and Industrial Research Organisation","ror":"https://ror.org/03qn8fb07","country_code":"AU","type":"funder","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I4387156119"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Robert McArthur","raw_affiliation_strings":["CSIRO ICT Centre, Australia"],"affiliations":[{"raw_affiliation_string":"CSIRO ICT Centre, Australia","institution_ids":["https://openalex.org/I1292875679"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5078772853"],"corresponding_institution_ids":["https://openalex.org/I1292875679"],"apc_list":null,"apc_paid":null,"fwci":4.6831,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.94742112,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"47","last_page":"54"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9980999827384949,"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/T12488","display_name":"Mental Health via Writing","score":0.9959999918937683,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7702161073684692},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6947370767593384},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6381909847259521},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.535639762878418},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.5002584457397461},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.49268728494644165},{"id":"https://openalex.org/keywords/cognition","display_name":"Cognition","score":0.47840461134910583},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4679390788078308},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4464013874530792},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.35819804668426514},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.18615442514419556},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.08129134774208069}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7702161073684692},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6947370767593384},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6381909847259521},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.535639762878418},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.5002584457397461},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.49268728494644165},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.47840461134910583},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4679390788078308},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4464013874530792},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.35819804668426514},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.18615442514419556},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.08129134774208069},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"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/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","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/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/1390749.1390758","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1390749.1390758","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the second workshop on Analytics for noisy unstructured text data","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.530.3525","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.530.3525","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.public.iastate.edu/~bestler/arts_based_articles/2008_mcarthur_uncovering_deep_user_context_from_blogs.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.800000011920929,"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":36,"referenced_works":["https://openalex.org/W154004647","https://openalex.org/W365972403","https://openalex.org/W1503333931","https://openalex.org/W1565420920","https://openalex.org/W1566141574","https://openalex.org/W1603411805","https://openalex.org/W1605873790","https://openalex.org/W1796264214","https://openalex.org/W1981617416","https://openalex.org/W1983578042","https://openalex.org/W1998327267","https://openalex.org/W2002659088","https://openalex.org/W2008480878","https://openalex.org/W2060955638","https://openalex.org/W2067932846","https://openalex.org/W2089691669","https://openalex.org/W2105074204","https://openalex.org/W2110302976","https://openalex.org/W2117138701","https://openalex.org/W2125098710","https://openalex.org/W2129250483","https://openalex.org/W2146177876","https://openalex.org/W2146515752","https://openalex.org/W2158997610","https://openalex.org/W2162783380","https://openalex.org/W2395712057","https://openalex.org/W2395829858","https://openalex.org/W2395980234","https://openalex.org/W2398548594","https://openalex.org/W2398983490","https://openalex.org/W2399573548","https://openalex.org/W2405154930","https://openalex.org/W2405282077","https://openalex.org/W2979401726","https://openalex.org/W4240791294","https://openalex.org/W4251308671"],"related_works":["https://openalex.org/W2055243143","https://openalex.org/W2140798747","https://openalex.org/W2948169060","https://openalex.org/W2730112582","https://openalex.org/W2110696645","https://openalex.org/W2358580169","https://openalex.org/W2111347279","https://openalex.org/W4399426197","https://openalex.org/W4321636575","https://openalex.org/W2487211728"],"abstract_inverted_index":{"People\u2019s":[0],"utterances":[1,127],"are":[2,10],"fundamentally":[3],"different":[4],"to":[5,33,39,52,79],"other":[6],"documents":[7],"because":[8],"they":[9],"more":[11,21],"immediate":[12],"and":[13,25,101,114,132],"less":[14],"thought":[15],"through.":[16],"While":[17],"this":[18],"makes":[19],"them":[20],"natural":[22],"\u2013":[23,27],"noisy":[24],"unstructured":[26],"it":[28],"provides":[29],"an":[30],"unrivalled":[31],"opportunity":[32],"see":[34],"\u201cinside":[35],"\u201d":[36],"the":[37,68,112,117,129],"author,":[38],"collect":[40],"some":[41],"context.":[42],"The":[43],"data":[44],"requires":[45],"analysis":[46,131],"methods":[47],"that":[48,119],"have":[49],"a":[50,62,71],"relationship":[51],"human":[53],"information":[54],"processing:":[55],"socio-cognitively":[56],"motivated":[57],"semantic":[58],"systems.":[59],"Using":[60],"HAL,":[61],"method":[63],"validated":[64],"by":[65],"cognitive":[66],"science,":[67],"text":[69],"from":[70,126],"large":[72],"number":[73],"of":[74,92,99,107,116],"blog":[75],"entries":[76,83],"was":[77,87],"analysed":[78],"uncover":[80],"changes":[81],"in":[82],"author\u2019s":[84,93],"sense-of-self.":[85],"Sense-of-self":[86],"measured":[88],"through":[89,128],"geometric":[90],"projection":[91],"first-person":[94],"usage":[95],"onto":[96],"key":[97],"indicators":[98],"kin":[100],"negative":[102],"emotion":[103],"words.":[104],"An":[105],"example":[106],"non-clinical":[108],"qualitative":[109],"evaluation":[110],"affirmed":[111],"utility":[113],"promise":[115],"technique:":[118],"deep":[120],"personal":[121],"context":[122],"can":[123],"be":[124],"uncovered":[125],"appropriate":[130],"inference.":[133]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
