{"id":"https://openalex.org/W4392798953","doi":"https://doi.org/10.1145/3638584.3638620","title":"Data Analysis of Attitude Evaluation System in News Discourse","display_name":"Data Analysis of Attitude Evaluation System in News Discourse","publication_year":2023,"publication_date":"2023-12-08","ids":{"openalex":"https://openalex.org/W4392798953","doi":"https://doi.org/10.1145/3638584.3638620"},"language":"en","primary_location":{"id":"doi:10.1145/3638584.3638620","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3638584.3638620","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 7th International Conference on Computer Science and Artificial Intelligence","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/A5024892458","display_name":"Yuelu Wang","orcid":"https://orcid.org/0009-0004-9495-3810"},"institutions":[{"id":"https://openalex.org/I4210152006","display_name":"Jilin Agricultural University","ror":"https://ror.org/05dmhhd41","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210152006"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuelu Wang","raw_affiliation_strings":["Jilin Agricultural University, China"],"raw_orcid":"https://orcid.org/0009-0004-9495-3810","affiliations":[{"raw_affiliation_string":"Jilin Agricultural University, China","institution_ids":["https://openalex.org/I4210152006"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5024892458"],"corresponding_institution_ids":["https://openalex.org/I4210152006"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.39136902,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"172","last_page":"177"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10366","display_name":"Discourse Analysis in Language Studies","score":0.972599983215332,"subfield":{"id":"https://openalex.org/subfields/1208","display_name":"Literature and Literary Theory"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10366","display_name":"Discourse Analysis in Language Studies","score":0.972599983215332,"subfield":{"id":"https://openalex.org/subfields/1208","display_name":"Literature and Literary Theory"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6327906250953674},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.34692561626434326},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3212636709213257}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6327906250953674},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.34692561626434326},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3212636709213257}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3638584.3638620","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3638584.3638620","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 7th International Conference on Computer Science and Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W148816875","https://openalex.org/W2080718281","https://openalex.org/W2100266184","https://openalex.org/W4240431742","https://openalex.org/W4249307508","https://openalex.org/W4298258104","https://openalex.org/W4388122741","https://openalex.org/W6824501183"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2478288626","https://openalex.org/W4391913857","https://openalex.org/W2350741829","https://openalex.org/W2530322880"],"abstract_inverted_index":{"To":[0],"study":[1,11],"the":[2,14,19,35,47,51,57,89,98,121,135],"characteristics":[3],"of":[4,39,53,78,91,101,137],"attitude":[5,15,36,48,59,75],"evaluation":[6,16,20,37,54,76],"in":[7],"news":[8,41,61,79,102,115,138],"discourse,":[9,62],"this":[10],"focuses":[12],"on":[13],"subsystem":[17],"under":[18],"system":[21],"theory.":[22],"Statistical":[23],"analysis":[24,27,77],"and":[25,33,71,108,129],"comparative":[26],"methods":[28],"were":[29],"used":[30],"to":[31,87,96,109,113,126],"compare":[32],"process":[34],"data":[38],"BBC":[40],"discourse.":[42,139],"The":[43,74],"results":[44,122],"showed":[45],"that":[46,120],"system,":[49,68,70],"as":[50],"center":[52],"theory,":[55],"reflected":[56],"author's":[58],"towards":[60],"which":[63,85],"was":[64],"manifested":[65],"through":[66],"judgment":[67],"appreciation":[69],"affect":[72],"system.":[73],"discourse":[80,92,103],"is":[81,118],"a":[82],"scientific":[83],"research,":[84],"helps":[86],"promote":[88],"research":[90,136],"resources":[93],"more":[94],"scientifically,":[95],"improve":[97],"understanding":[99],"level":[100],"by":[104],"English":[105],"language":[106,127],"learners,":[107],"enhance":[110],"their":[111],"sensitivity":[112],"current":[114],"events.":[116],"It":[117],"hoped":[119],"can":[123],"be":[124],"helpful":[125],"learners":[128],"have":[130],"certain":[131],"guiding":[132],"significance":[133],"for":[134]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
