{"id":"https://openalex.org/W4409248255","doi":"https://doi.org/10.1109/icct62411.2024.10946341","title":"Small Sample Intelligence Text Classification Model Based on ChatGPT and Neighboring Prompt","display_name":"Small Sample Intelligence Text Classification Model Based on ChatGPT and Neighboring Prompt","publication_year":2024,"publication_date":"2024-10-18","ids":{"openalex":"https://openalex.org/W4409248255","doi":"https://doi.org/10.1109/icct62411.2024.10946341"},"language":"en","primary_location":{"id":"doi:10.1109/icct62411.2024.10946341","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icct62411.2024.10946341","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 24th International Conference on Communication Technology (ICCT)","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":null,"display_name":"Lai Qian","orcid":null},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lai Qian","raw_affiliation_strings":["National University of Defense Technology,School of Information and Communication,Wuhan,China"],"affiliations":[{"raw_affiliation_string":"National University of Defense Technology,School of Information and Communication,Wuhan,China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040007011","display_name":"Weiwei Zhao","orcid":"https://orcid.org/0000-0001-8507-1921"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiwei Zhao","raw_affiliation_strings":["National University of Defense Technology,School of Information and Communication,Wuhan,China"],"affiliations":[{"raw_affiliation_string":"National University of Defense Technology,School of Information and Communication,Wuhan,China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042063765","display_name":"Liuwen Li","orcid":"https://orcid.org/0009-0000-8167-9315"},"institutions":[{"id":"https://openalex.org/I4210125143","display_name":"Chengdu University","ror":"https://ror.org/034z67559","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210125143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liuwen Li","raw_affiliation_strings":["31680 Unit,Chengdu,China"],"affiliations":[{"raw_affiliation_string":"31680 Unit,Chengdu,China","institution_ids":["https://openalex.org/I4210125143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100417933","display_name":"Qianqian Chen","orcid":"https://orcid.org/0000-0001-9071-0791"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"QianQian Chen","raw_affiliation_strings":["Beijing Tianrun Rongtong Technology Co., Ltd,Nangjing,China"],"affiliations":[{"raw_affiliation_string":"Beijing Tianrun Rongtong Technology Co., Ltd,Nangjing,China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015063473","display_name":"Yaoyao Liu","orcid":"https://orcid.org/0000-0002-5903-8527"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yaoyao Liu","raw_affiliation_strings":["Langxi County People&#x2019;s Hospital,Langxi,China"],"affiliations":[{"raw_affiliation_string":"Langxi County People&#x2019;s Hospital,Langxi,China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100341597","display_name":"Jiajun Wang","orcid":"https://orcid.org/0000-0002-3643-157X"},"institutions":[{"id":"https://openalex.org/I15062923","display_name":"Tianjin Normal University","ror":"https://ror.org/05x2td559","country_code":"CN","type":"education","lineage":["https://openalex.org/I15062923"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiajun Wang","raw_affiliation_strings":["Tianjin Normal University,Tianjian,China"],"affiliations":[{"raw_affiliation_string":"Tianjin Normal University,Tianjian,China","institution_ids":["https://openalex.org/I15062923"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I170215575"],"apc_list":null,"apc_paid":null,"fwci":0.3369,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.70692084,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1938","last_page":"1946"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.26809999346733093,"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":0.26809999346733093,"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/T14347","display_name":"Big Data and Digital Economy","score":0.08630000054836273,"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":0.037300001829862595,"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":0.6508383750915527},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.6247421503067017},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48799270391464233}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6508383750915527},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.6247421503067017},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48799270391464233},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icct62411.2024.10946341","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icct62411.2024.10946341","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 24th International Conference on Communication Technology (ICCT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W2970641574","https://openalex.org/W3034942609","https://openalex.org/W3153427360","https://openalex.org/W3174396451","https://openalex.org/W4322775461"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"In":[0],"the":[1,36,50,66,79,82,94,105,111,117,128,143,154],"field":[2],"of":[3,53,81,120,146],"intelligence":[4,29,54,132],"analysis,":[5],"text":[6,30,67,121,133,150],"classification":[7,31,51,134,144,151],"poses":[8],"a":[9,24,57,72,139,158],"significant":[10],"challenge,":[11],"particularly":[12],"under":[13],"small":[14,27,147],"sample":[15,28,148],"scenarios.":[16],"To":[17],"address":[18],"this":[19,21,86,162],"issue,":[20],"study":[22],"introduces":[23],"model":[25,107],"for":[26,161],"based":[32],"on":[33],"ChatGPT":[34,95,106],"and":[35,48,125,164],"Prompt":[37,74,89],"mode.":[38],"The":[39],"primary":[40],"objective":[41],"is":[42,62,76,91],"to":[43,64,104],"mitigate":[44],"data":[45],"scarcity":[46],"issues":[47],"enhance":[49,65],"accuracy":[52],"text.":[55],"Initially,":[56],"supervised":[58],"contrast":[59],"learning":[60],"strategy":[61],"devised":[63],"representation":[68],"retrieval":[69],"capabilities.":[70],"Subsequently,":[71],"nearest-neighbor":[73,83,88],"mechanism":[75,90,98],"developed":[77],"through":[78],"implementation":[80],"algorithm.":[84],"Ultimately,":[85],"constructed":[87],"integrated":[92],"into":[93,123],"model.":[96],"This":[97],"not":[99],"only":[100],"imparts":[101],"pertinent":[102],"knowledge":[103],"but":[108],"also":[109],"delineates":[110],"output":[112],"format":[113],"criteria,":[114],"thereby":[115],"facilitating":[116],"efficient":[118],"transformation":[119],"information":[122,149],"labels":[124],"substantially":[126],"enhancing":[127],"model\u2019s":[129],"performance":[130],"in":[131,142],"tasks.":[135],"Experimental":[136],"results":[137],"demonstrate":[138],"substantial":[140],"enhancement":[141],"efficacy":[145],"tasks":[152],"by":[153],"proposed":[155],"model,":[156],"providing":[157],"viable":[159],"solution":[160],"domain":[163],"fostering":[165],"its":[166],"advancement.":[167]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}
