{"id":"https://openalex.org/W4382054055","doi":"https://doi.org/10.1145/3584816.3584842","title":"Research on the Topic Content Prediction of Online Reviews: from the Perspective of Bi-directional Sentiment Classification","display_name":"Research on the Topic Content Prediction of Online Reviews: from the Perspective of Bi-directional Sentiment Classification","publication_year":2023,"publication_date":"2023-01-13","ids":{"openalex":"https://openalex.org/W4382054055","doi":"https://doi.org/10.1145/3584816.3584842"},"language":"en","primary_location":{"id":"doi:10.1145/3584816.3584842","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3584816.3584842","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 6th International Conference on Computers in Management and Business","raw_type":"proceedings-article"},"type":"conference-paper","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/A5036089011","display_name":"Xiaogang Zhao","orcid":"https://orcid.org/0000-0002-6141-339X"},"institutions":[{"id":"https://openalex.org/I180632629","display_name":"Xi'an International Studies University","ror":"https://ror.org/05gcme754","country_code":"CN","type":"education","lineage":["https://openalex.org/I180632629"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaogang Zhao","raw_affiliation_strings":["Business school, Xi'an International Studies University, China"],"raw_orcid":"https://orcid.org/0000-0002-6141-339X","affiliations":[{"raw_affiliation_string":"Business school, Xi'an International Studies University, China","institution_ids":["https://openalex.org/I180632629"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057984093","display_name":"Ge Li","orcid":"https://orcid.org/0000-0001-8236-9431"},"institutions":[{"id":"https://openalex.org/I180632629","display_name":"Xi'an International Studies University","ror":"https://ror.org/05gcme754","country_code":"CN","type":"education","lineage":["https://openalex.org/I180632629"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ge Li","raw_affiliation_strings":["Business school, Xi'an International Studies University, China"],"raw_orcid":"https://orcid.org/0000-0001-8236-9431","affiliations":[{"raw_affiliation_string":"Business school, Xi'an International Studies University, China","institution_ids":["https://openalex.org/I180632629"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057256869","display_name":"Hai Shen","orcid":"https://orcid.org/0000-0002-2102-0372"},"institutions":[{"id":"https://openalex.org/I180632629","display_name":"Xi'an International Studies University","ror":"https://ror.org/05gcme754","country_code":"CN","type":"education","lineage":["https://openalex.org/I180632629"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hai Shen","raw_affiliation_strings":["Business school, Xi'an International Studies University, China"],"raw_orcid":"https://orcid.org/0000-0002-2102-0372","affiliations":[{"raw_affiliation_string":"Business school, Xi'an International Studies University, China","institution_ids":["https://openalex.org/I180632629"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087493210","display_name":"Yiwei Dang","orcid":"https://orcid.org/0000-0003-1121-9799"},"institutions":[{"id":"https://openalex.org/I180632629","display_name":"Xi'an International Studies University","ror":"https://ror.org/05gcme754","country_code":"CN","type":"education","lineage":["https://openalex.org/I180632629"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiwei Dang","raw_affiliation_strings":["Business school, Xi'an International Studies University, China"],"raw_orcid":"https://orcid.org/0000-0003-1121-9799","affiliations":[{"raw_affiliation_string":"Business school, Xi'an International Studies University, China","institution_ids":["https://openalex.org/I180632629"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100721400","display_name":"Jun Hou","orcid":"https://orcid.org/0000-0002-2978-8749"},"institutions":[{"id":"https://openalex.org/I180632629","display_name":"Xi'an International Studies University","ror":"https://ror.org/05gcme754","country_code":"CN","type":"education","lineage":["https://openalex.org/I180632629"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Hou","raw_affiliation_strings":["Business school, Xi'an International Studies University, China"],"raw_orcid":"https://orcid.org/0000-0002-2978-8749","affiliations":[{"raw_affiliation_string":"Business school, Xi'an International Studies University, China","institution_ids":["https://openalex.org/I180632629"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101957772","display_name":"Siwei Dong","orcid":"https://orcid.org/0000-0001-7767-938X"},"institutions":[{"id":"https://openalex.org/I180632629","display_name":"Xi'an International Studies University","ror":"https://ror.org/05gcme754","country_code":"CN","type":"education","lineage":["https://openalex.org/I180632629"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Siwei Dong","raw_affiliation_strings":["Business school, Xi'an International Studies University, China"],"raw_orcid":"https://orcid.org/0000-0001-7767-938X","affiliations":[{"raw_affiliation_string":"Business school, Xi'an International Studies University, China","institution_ids":["https://openalex.org/I180632629"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I180632629"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"170","last_page":"174"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9890999794006348,"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":0.9890999794006348,"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/T12016","display_name":"Web Data Mining and Analysis","score":0.9781000018119812,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9581999778747559,"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/computer-science","display_name":"Computer science","score":0.7308073043823242},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.719855785369873},{"id":"https://openalex.org/keywords/content","display_name":"Content (measure theory)","score":0.608161211013794},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.5965090990066528},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5391350984573364},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43436944484710693},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.41637641191482544},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3709087371826172},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09439295530319214}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7308073043823242},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.719855785369873},{"id":"https://openalex.org/C2778152352","wikidata":"https://www.wikidata.org/wiki/Q5165061","display_name":"Content (measure theory)","level":2,"score":0.608161211013794},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.5965090990066528},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5391350984573364},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43436944484710693},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.41637641191482544},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3709087371826172},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09439295530319214},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3584816.3584842","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3584816.3584842","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 6th International Conference on Computers in Management and Business","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.44999998807907104,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2513402967","https://openalex.org/W2594056497","https://openalex.org/W2741201119","https://openalex.org/W2791706747","https://openalex.org/W2904485001","https://openalex.org/W2912943867","https://openalex.org/W2920873208","https://openalex.org/W2947063024","https://openalex.org/W2995454295","https://openalex.org/W3011159390","https://openalex.org/W3030230423","https://openalex.org/W4211011527","https://openalex.org/W4285229757"],"related_works":["https://openalex.org/W2548633793","https://openalex.org/W3013279174","https://openalex.org/W2941935829","https://openalex.org/W2596247554","https://openalex.org/W4301373556","https://openalex.org/W3132372214","https://openalex.org/W4224284088","https://openalex.org/W4286571989","https://openalex.org/W2765903680","https://openalex.org/W4317653575"],"abstract_inverted_index":{"To":[0],"solve":[1],"the":[2,8,21,25,32,38,50,65,68,79,92,109],"problem":[3,80],"of":[4,10,27,40,67,81,85,103,112],"coarse-grained":[5,82],"results":[6,84,94],"in":[7],"research":[9],"topic":[11,22,69,88],"content":[12,23],"prediction,":[13],"this":[14,75],"paper":[15],"proposes":[16],"a":[17],"prediction":[18,66,83,93],"method":[19,33,76],"for":[20],"from":[24,95],"perspective":[26],"bi-directional":[28],"sentiment":[29,39],"classification.":[30],"Firstly,":[31],"uses":[34],"SnowNLP":[35],"to":[36,48,56,63],"classify":[37],"online":[41,86],"reviews;":[42],"secondly,":[43],"LDA":[44],"model":[45],"is":[46,54,61,106,115],"applied":[47,62],"extract":[49],"topics":[51,105,114],"and":[52,90,97,108],"entropy":[53],"used":[55],"sort":[57],"topics;":[58],"finally,":[59],"Word2Vec":[60],"achieve":[64],"content.":[70],"Example":[71],"calculation":[72],"shows":[73],"that":[74],"effectively":[77],"solves":[78],"reviews\u2019":[87],"content,":[89],"presents":[91],"positive":[96,104],"negative":[98,113],"sentiments.":[99],"The":[100],"average":[101,110],"precision":[102,111],"86.67%,":[107],"80.00%.":[116]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}