{"title":"改进古吉拉特语的轻量级词干","authors":"C. D. Patel, Jayesh M. Patel","doi":"10.5121/IJIST.2016.6214","DOIUrl":null,"url":null,"abstract":"The origin of route of text mining is the process of stemming. It is usually used in several types of applications such as Natural Language Processing (NLP), Information Retrieval (IR) and Text Mining (TM) including Text Categorization (TC), Text Summarization (TS). Establish a stemmer effective for the language of Gujarati has been always a search domain hot since the Gujarati has a very different structure and difficult that the other language due to the rich morphology.","PeriodicalId":243052,"journal":{"name":"Robotics eJournal","volume":"84 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Improving a Lightweight Stemmer for Gujarati Language\",\"authors\":\"C. D. Patel, Jayesh M. Patel\",\"doi\":\"10.5121/IJIST.2016.6214\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The origin of route of text mining is the process of stemming. It is usually used in several types of applications such as Natural Language Processing (NLP), Information Retrieval (IR) and Text Mining (TM) including Text Categorization (TC), Text Summarization (TS). Establish a stemmer effective for the language of Gujarati has been always a search domain hot since the Gujarati has a very different structure and difficult that the other language due to the rich morphology.\",\"PeriodicalId\":243052,\"journal\":{\"name\":\"Robotics eJournal\",\"volume\":\"84 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Robotics eJournal\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5121/IJIST.2016.6214\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Robotics eJournal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5121/IJIST.2016.6214","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Improving a Lightweight Stemmer for Gujarati Language
The origin of route of text mining is the process of stemming. It is usually used in several types of applications such as Natural Language Processing (NLP), Information Retrieval (IR) and Text Mining (TM) including Text Categorization (TC), Text Summarization (TS). Establish a stemmer effective for the language of Gujarati has been always a search domain hot since the Gujarati has a very different structure and difficult that the other language due to the rich morphology.