{"id":"https://openalex.org/W149352146","doi":null,"title":"NTU at TREC 2007 Blog Track","display_name":"NTU at TREC 2007 Blog Track","publication_year":2007,"publication_date":"2007-01-01","ids":{"openalex":"https://openalex.org/W149352146","mag":"149352146"},"language":"en","primary_location":{"id":"mag:149352146","doi":null,"is_oa":false,"landing_page_url":"https://trec.nist.gov/pubs/trec16/papers/ntu.blog.final.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306421043","display_name":"Text REtrieval Conference","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"Text REtrieval Conference","raw_type":null},"volume":null,"type":"conference-paper","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/A5074764224","display_name":"Kevin Lin","orcid":"https://orcid.org/0000-0002-1236-9847","observed_orcids":["https://orcid.org/0000-0002-1236-9847","https://orcid.org/0000-0003-4305-8352","https://orcid.org/0009-0006-9293-2498"]},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Kevin Lin","raw_affiliation_strings":["National Taiwan University > > > >  >  >"],"raw_orcid":"https://orcid.org/0000-0002-1236-9847","affiliations":[{"raw_affiliation_string":"National Taiwan University > > > >  >  >","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000334344","display_name":"Hsin\u2010Hsi Chen","orcid":"https://orcid.org/0000-0001-9757-9423","observed_orcids":["https://orcid.org/0000-0001-9757-9423"]},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Hsin\u2010Hsi Chen","raw_affiliation_strings":["National Taiwan University > > > >  >  >"],"raw_orcid":"https://orcid.org/0000-0001-9757-9423","affiliations":[{"raw_affiliation_string":"National Taiwan University > > > >  >  >","institution_ids":["https://openalex.org/I16733864"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I16733864"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.01668318,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9970999956130981,"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":0.9970999956130981,"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/T10286","display_name":"Information Retrieval and Search Behavior","score":0.002099999925121665,"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"}},{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.00019999999494757503,"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/opinion-retrieval","display_name":"opinion retrieval","score":0.9739999771118164},{"id":"https://openalex.org/keywords/sentiment-polarity-classification","display_name":"polarity classification","score":0.8389999866485596},{"id":"https://openalex.org/keywords/blog-search","display_name":"blog search","score":0.5550000071525574},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"support vector machine","score":0.6230000257492065}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7912353277206421},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7523981332778931},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6647346019744873},{"id":"https://openalex.org/C81758059","wikidata":"https://www.wikidata.org/wiki/Q796584","display_name":"tf\u2013idf","level":3,"score":0.6463983058929443},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.6000242829322815},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5234917402267456},{"id":"https://openalex.org/C2777361361","wikidata":"https://www.wikidata.org/wiki/Q1112585","display_name":"Polarity (international relations)","level":3,"score":0.5114501714706421},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5066998600959778},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4672538936138153},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.32121315598487854},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.057786017656326294},{"id":"https://openalex.org/C1491633281","wikidata":"https://www.wikidata.org/wiki/Q7868","display_name":"Cell","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"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":"mag:149352146","doi":null,"is_oa":false,"landing_page_url":"https://trec.nist.gov/pubs/trec16/papers/ntu.blog.final.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306421043","display_name":"Text REtrieval Conference","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"Text REtrieval Conference","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"sustainable_development_goals_aurora":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2127935964","https://openalex.org/W1536077504","https://openalex.org/W2560898792","https://openalex.org/W2102458764","https://openalex.org/W2031794520","https://openalex.org/W2397310312","https://openalex.org/W2139376231","https://openalex.org/W2130699020","https://openalex.org/W2915768727","https://openalex.org/W2128027916"],"abstract_inverted_index":{"We":[0,23,64,151],"participated":[1,65],"in":[2,66],"the":[3,8,18,26,32,35,41,47,52,67,72,101,127,153,164,171,182,189],"Opinion":[4,68,76,160],"Retrieval":[5,69,77,161],"Task":[6,70,78,162],"and":[7,71,91,114,135],"Polarity":[9,73,95],"Subtask.":[10,74],"An":[11],"SVM":[12,36,183,197],"classifier":[13,37,143,184],"was":[14],"used":[15,152],"to":[16,81,88,99,119,125,131,147],"determine":[17],"opinion":[19,27,42,102,172],"polarities":[20,103,108],"of":[21,104],"documents.":[22,105],"found":[24],"that":[25,170],"mean":[28,43,173],"average":[29,44,174],"precisions":[30,45,175],"for":[31,46,177,191],"runs":[33,48,178,194],"using":[34],"is":[38,124],"better":[39],"than":[40,188],"produced":[49],"solely":[50],"by":[51,181,196],"TFIDF":[53,128],"retrieval":[54,129],"model.":[55],"The":[56,75,94,106],"Blog":[57,158],"track":[58],"offers":[59],"several":[60],"tasks":[61],"this":[62],"year.":[63],"requires":[79,97],"us":[80,98],"retrieve":[82,132],"documents":[83,134,146],"which":[84],"are":[85,109,185],"both":[86],"relevant":[87],"a":[89,138],"topic":[90],"contain":[92],"opinions.":[93],"Subtask":[96],"label":[100],"possible":[107],"negatively":[110],"opinionated,":[111],"positively":[112],"opinionated":[113],"mixed":[115],"polarity.":[116],"Our":[117,167],"approach":[118],"solving":[120],"these":[121,145],"two":[122],"problems":[123],"use":[126],"model":[130],"topic-relevant":[133],"then":[136],"apply":[137],"support":[139],"vector":[140],"machine":[141],"(SVM)":[142],"on":[144],"identify":[148],"their":[149,192],"polarities.":[150],"data":[154],"from":[155],"TREC":[156],"2006":[157],"Track\u2019s":[159],"as":[163],"training":[165],"data.":[166],"results":[168],"show":[169],"(MAP)":[176],"not":[179],"classified":[180,195],"slightly":[186],"lower":[187],"MAP":[190],"corresponding":[193],"classifiers.":[198]},"counts_by_year":[],"updated_date":"2026-10-05T09:50:58.205359","created_date":"2016-06-24T00:00:00"}
