{"title":"使用文本摘要改进文本分类","authors":"Abdelkader Kaddour, Nassim Zellal, Lamri Sayad","doi":"10.1109/NTIC55069.2022.10100492","DOIUrl":null,"url":null,"abstract":"The classification problem has been widely studied in data mining, machine learning, and information retrieval communities with applications in several domains, such as target marketing, medical diagnosis, newsgroup filtering, and document organization. In this work, we take up the challenge of improving Text Classification (TC) using Text Summarizing (TS).","PeriodicalId":403927,"journal":{"name":"2022 2nd International Conference on New Technologies of Information and Communication (NTIC)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Improving text classification using text summarization\",\"authors\":\"Abdelkader Kaddour, Nassim Zellal, Lamri Sayad\",\"doi\":\"10.1109/NTIC55069.2022.10100492\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The classification problem has been widely studied in data mining, machine learning, and information retrieval communities with applications in several domains, such as target marketing, medical diagnosis, newsgroup filtering, and document organization. In this work, we take up the challenge of improving Text Classification (TC) using Text Summarizing (TS).\",\"PeriodicalId\":403927,\"journal\":{\"name\":\"2022 2nd International Conference on New Technologies of Information and Communication (NTIC)\",\"volume\":\"20 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-12-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 2nd International Conference on New Technologies of Information and Communication (NTIC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/NTIC55069.2022.10100492\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 2nd International Conference on New Technologies of Information and Communication (NTIC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NTIC55069.2022.10100492","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Improving text classification using text summarization
The classification problem has been widely studied in data mining, machine learning, and information retrieval communities with applications in several domains, such as target marketing, medical diagnosis, newsgroup filtering, and document organization. In this work, we take up the challenge of improving Text Classification (TC) using Text Summarizing (TS).
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