{"id":"https://openalex.org/W3012322145","doi":"https://doi.org/10.1109/ialp48816.2019.9037706","title":"Research on Tibetan Text Classification Method Based on Neural Network","display_name":"Research on Tibetan Text Classification Method Based on Neural Network","publication_year":2019,"publication_date":"2019-11-01","ids":{"openalex":"https://openalex.org/W3012322145","doi":"https://doi.org/10.1109/ialp48816.2019.9037706","mag":"3012322145"},"language":"en","primary_location":{"id":"doi:10.1109/ialp48816.2019.9037706","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ialp48816.2019.9037706","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Conference on Asian Language Processing (IALP)","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/A5089126461","display_name":"Zhensong Li","orcid":"https://orcid.org/0000-0002-1025-0412"},"institutions":[{"id":"https://openalex.org/I140786321","display_name":"Tibet University","ror":"https://ror.org/05petvd47","country_code":"CN","type":"education","lineage":["https://openalex.org/I140786321"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhensong Li","raw_affiliation_strings":["School of Electronics Engineering and Computer Science, Tibet University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronics Engineering and Computer Science, Tibet University","institution_ids":["https://openalex.org/I140786321"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031936679","display_name":"Jie Zhu","orcid":"https://orcid.org/0000-0001-6862-9022"},"institutions":[{"id":"https://openalex.org/I140786321","display_name":"Tibet University","ror":"https://ror.org/05petvd47","country_code":"CN","type":"education","lineage":["https://openalex.org/I140786321"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Zhu","raw_affiliation_strings":["School of Electronics Engineering and Computer Science, Tibet University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronics Engineering and Computer Science, Tibet University","institution_ids":["https://openalex.org/I140786321"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022405168","display_name":"Zhixiang Luo","orcid":null},"institutions":[{"id":"https://openalex.org/I140786321","display_name":"Tibet University","ror":"https://ror.org/05petvd47","country_code":"CN","type":"education","lineage":["https://openalex.org/I140786321"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhixiang Luo","raw_affiliation_strings":["School of Electronics Engineering and Computer Science, Tibet University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronics Engineering and Computer Science, Tibet University","institution_ids":["https://openalex.org/I140786321"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049823630","display_name":"Saihu Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I140786321","display_name":"Tibet University","ror":"https://ror.org/05petvd47","country_code":"CN","type":"education","lineage":["https://openalex.org/I140786321"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Saihu Liu","raw_affiliation_strings":["School of Electronics Engineering and Computer Science, Tibet University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronics Engineering and Computer Science, Tibet University","institution_ids":["https://openalex.org/I140786321"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1446,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.62010031,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"25","issue":null,"first_page":"379","last_page":"383"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9847000241279602,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9847000241279602,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9812999963760376,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9787999987602234,"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":0.795951783657074},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7153434157371521},{"id":"https://openalex.org/keywords/vocabulary","display_name":"Vocabulary","score":0.7066969275474548},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.642672061920166},{"id":"https://openalex.org/keywords/categorization","display_name":"Categorization","score":0.6021065711975098},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5784263014793396},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5387557148933411},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5329785346984863},{"id":"https://openalex.org/keywords/text-categorization","display_name":"Text categorization","score":0.49927854537963867},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.4486159384250641},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.43166935443878174},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3251190781593323},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.139791339635849}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.795951783657074},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7153434157371521},{"id":"https://openalex.org/C2777601683","wikidata":"https://www.wikidata.org/wiki/Q6499736","display_name":"Vocabulary","level":2,"score":0.7066969275474548},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.642672061920166},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.6021065711975098},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5784263014793396},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5387557148933411},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5329785346984863},{"id":"https://openalex.org/C2986744138","wikidata":"https://www.wikidata.org/wiki/Q302088","display_name":"Text categorization","level":3,"score":0.49927854537963867},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.4486159384250641},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.43166935443878174},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3251190781593323},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.139791339635849},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ialp48816.2019.9037706","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ialp48816.2019.9037706","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Conference on Asian Language Processing (IALP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.8500000238418579}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W145476170","https://openalex.org/W1614298861","https://openalex.org/W1832693441","https://openalex.org/W1908808128","https://openalex.org/W1995258314","https://openalex.org/W2007929615","https://openalex.org/W2082729696","https://openalex.org/W2126165619","https://openalex.org/W2131774270","https://openalex.org/W2390809426","https://openalex.org/W2493916176","https://openalex.org/W2531409750","https://openalex.org/W2586951686","https://openalex.org/W2898339904","https://openalex.org/W2950577311","https://openalex.org/W6605963037","https://openalex.org/W6636510571","https://openalex.org/W6723250868"],"related_works":["https://openalex.org/W2047139419","https://openalex.org/W2360898036","https://openalex.org/W2390857744","https://openalex.org/W2133651098","https://openalex.org/W2390698788","https://openalex.org/W2383063829","https://openalex.org/W2138922887","https://openalex.org/W2082678934","https://openalex.org/W2035261173","https://openalex.org/W2106892947"],"abstract_inverted_index":{"Text":[0],"categorization":[1],"is":[2,68],"an":[3],"important":[4],"task":[5],"in":[6,18],"natural":[7],"language":[8,55],"processing,":[9],"and":[10,30,49],"it":[11],"has":[12],"a":[13],"wide":[14],"range":[15],"of":[16],"applications":[17],"real":[19],"life.":[20],"In":[21],"this":[22],"paper,":[23],"two":[24,31],"N-Gram":[25],"feature":[26],"models":[27,33],"(MLP,":[28],"FastText)":[29],"sequential":[32],"(sepCNN,":[34],"Bi-LSTM)":[35],"are":[36],"used":[37],"to":[38],"study":[39],"the":[40,65],"automatic":[41],"classification":[42,66],"for":[43],"Tibetan":[44,54],"text":[45],"based":[46],"on":[47,53],"syllables":[48],"vocabulary.":[50],"The":[51],"experiment":[52],"data":[56],"collected":[57],"by":[58],"China":[59],"Tibet":[60],"News":[61],"Network":[62],"shows":[63],"that":[64],"accuracy":[67],"about":[69],"85%.":[70]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}