{"id":"https://openalex.org/W2147528525","doi":"https://doi.org/10.1145/2063576.2063759","title":"Extracting collective expectations about the future from large text collections","display_name":"Extracting collective expectations about the future from large text collections","publication_year":2011,"publication_date":"2011-10-24","ids":{"openalex":"https://openalex.org/W2147528525","doi":"https://doi.org/10.1145/2063576.2063759","mag":"2147528525"},"language":"en","primary_location":{"id":"doi:10.1145/2063576.2063759","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2063576.2063759","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 20th ACM international 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/A5079733597","display_name":"Adam Jatowt","orcid":"https://orcid.org/0000-0001-7235-0665"},"institutions":[{"id":"https://openalex.org/I22299242","display_name":"Kyoto University","ror":"https://ror.org/02kpeqv85","country_code":"JP","type":"education","lineage":["https://openalex.org/I22299242"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Adam Jatowt","raw_affiliation_strings":["Kyoto University, Kyoto, Japan"],"affiliations":[{"raw_affiliation_string":"Kyoto University, Kyoto, Japan","institution_ids":["https://openalex.org/I22299242"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034584444","display_name":"Ching\u2010man Au Yeung","orcid":null},"institutions":[{"id":"https://openalex.org/I146617529","display_name":"Applied Science and Technology Research Institute","ror":"https://ror.org/03xmkea05","country_code":"CN","type":"facility","lineage":["https://openalex.org/I146617529"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ching-man Au Yeung","raw_affiliation_strings":["ASTRI, Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"ASTRI, Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I146617529"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5079733597"],"corresponding_institution_ids":["https://openalex.org/I22299242"],"apc_list":null,"apc_paid":null,"fwci":2.8901,"has_fulltext":false,"cited_by_count":47,"citation_normalized_percentile":{"value":0.9126949,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1259","last_page":"1264"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9969000220298767,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9969000220298767,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9922999739646912,"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/T10799","display_name":"Data Visualization and Analytics","score":0.9900000095367432,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.7937958240509033},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.701363205909729},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.640316367149353},{"id":"https://openalex.org/keywords/volume","display_name":"Volume (thermodynamics)","score":0.5575329065322876},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5190858840942383},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4150451719760895},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4094827473163605},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.35731828212738037}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7937958240509033},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.701363205909729},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.640316367149353},{"id":"https://openalex.org/C20556612","wikidata":"https://www.wikidata.org/wiki/Q4469374","display_name":"Volume (thermodynamics)","level":2,"score":0.5575329065322876},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5190858840942383},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4150451719760895},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4094827473163605},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.35731828212738037},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/2063576.2063759","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2063576.2063759","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 20th ACM international conference on Information and knowledge management","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.422.1824","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.422.1824","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.dl.kuis.kyoto-u.ac.jp/~adam/cikm11b.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320912","display_name":"Ministry of Education, Culture, Sports, Science and Technology","ror":"https://ror.org/048rj2z13"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W64187236","https://openalex.org/W1533946607","https://openalex.org/W1978672522","https://openalex.org/W1984919363","https://openalex.org/W2014432523","https://openalex.org/W2027233868","https://openalex.org/W2040307101","https://openalex.org/W2099421013","https://openalex.org/W2118689949","https://openalex.org/W4285719527","https://openalex.org/W6602662854"],"related_works":["https://openalex.org/W4298130764","https://openalex.org/W2804364458","https://openalex.org/W2798121181","https://openalex.org/W2132641928","https://openalex.org/W4310225030","https://openalex.org/W2090259340","https://openalex.org/W1926736923","https://openalex.org/W2016805743","https://openalex.org/W2158836806","https://openalex.org/W2393816671"],"abstract_inverted_index":{"News":[0],"articles":[1],"often":[2],"contain":[3],"information":[4,13,24,28,64],"about":[5],"the":[6,9,38,49],"future.":[7],"Given":[8],"huge":[10],"volume":[11],"of":[12,37,80],"available":[14],"nowadays,":[15],"an":[16],"automatic":[17],"way":[18],"for":[19,48,58],"extracting":[20],"and":[21,45,77,94],"summarizing":[22],"future-related":[23],"is":[25],"desirable.":[26],"Such":[27],"will":[29],"allow":[30],"people":[31],"to":[32,40,90],"obtain":[33],"a":[34,54,67],"collective":[35],"image":[36],"future,":[39],"recognize":[41],"possible":[42],"future":[43,50,60,92],"scenarios":[44],"be":[46,88],"prepared":[47],"events.":[51],"We":[52,82],"propose":[53],"model-based":[55],"clustering":[56],"algorithm":[57,71,86],"detecting":[59],"events":[61,93],"based":[62],"on":[63],"extracted":[65],"from":[66],"text":[68],"corpus.":[69],"The":[70],"takes":[72],"into":[73],"account":[74],"both":[75],"textual":[76],"temporal":[78],"similarity":[79],"sentences.":[81],"demonstrate":[83],"that":[84],"our":[85],"can":[87],"used":[89],"discover":[91],"estimate":[95],"their":[96],"probabilities":[97],"over":[98],"time.":[99]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":7},{"year":2016,"cited_by_count":12},{"year":2015,"cited_by_count":6},{"year":2014,"cited_by_count":5},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":4}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
