{"title":"通过监督学习对未训练数据进行多标签文本分类","authors":"Mayank Budhiraja","doi":"10.1109/I2C2.2017.8321804","DOIUrl":null,"url":null,"abstract":"World of digital data is growing at an aggressive rate, where every single minute new data is created and processed. All information retrieval processes are gone from insufficient to overflowing. It is doubling each and every year which makes information retrieval more challenging. Our focus is to turn this immense data streams from a liability to our strengths.","PeriodicalId":288351,"journal":{"name":"2017 International Conference on Intelligent Computing and Control (I2C2)","volume":"167 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Multi label text classification for un-trained data through supervised learning\",\"authors\":\"Mayank Budhiraja\",\"doi\":\"10.1109/I2C2.2017.8321804\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"World of digital data is growing at an aggressive rate, where every single minute new data is created and processed. All information retrieval processes are gone from insufficient to overflowing. It is doubling each and every year which makes information retrieval more challenging. Our focus is to turn this immense data streams from a liability to our strengths.\",\"PeriodicalId\":288351,\"journal\":{\"name\":\"2017 International Conference on Intelligent Computing and Control (I2C2)\",\"volume\":\"167 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 International Conference on Intelligent Computing and Control (I2C2)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/I2C2.2017.8321804\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 International Conference on Intelligent Computing and Control (I2C2)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/I2C2.2017.8321804","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Multi label text classification for un-trained data through supervised learning
World of digital data is growing at an aggressive rate, where every single minute new data is created and processed. All information retrieval processes are gone from insufficient to overflowing. It is doubling each and every year which makes information retrieval more challenging. Our focus is to turn this immense data streams from a liability to our strengths.