{"title":"文本体裁分类研究","authors":"Zhijuan Xu, Lizhen Liu, Wei Song, Chao Du","doi":"10.1109/CITS.2017.8035329","DOIUrl":null,"url":null,"abstract":"Essays in different text genres have different ideas and writing method. Prediction the text genres firstly will help get a better accuracy when predicting the success of literary or finding the beautiful words and sentences in the essay. And it will help set a different standard for different text genres when scoring the writing by computer. Words and structure can be effective in discriminating text genres. Narration and description has a difference in the words they use and the structure, we can separate them by analyze the difference. In this paper we find a method to separate the essay in different text genres by computer. We analyze the most effective features for distinguish genres. And discussed how to get a better result for genres classification. Finally, the f value reached 80% in our experiment.","PeriodicalId":314150,"journal":{"name":"2017 International Conference on Computer, Information and Telecommunication Systems (CITS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Text genre classification research\",\"authors\":\"Zhijuan Xu, Lizhen Liu, Wei Song, Chao Du\",\"doi\":\"10.1109/CITS.2017.8035329\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Essays in different text genres have different ideas and writing method. Prediction the text genres firstly will help get a better accuracy when predicting the success of literary or finding the beautiful words and sentences in the essay. And it will help set a different standard for different text genres when scoring the writing by computer. Words and structure can be effective in discriminating text genres. Narration and description has a difference in the words they use and the structure, we can separate them by analyze the difference. In this paper we find a method to separate the essay in different text genres by computer. We analyze the most effective features for distinguish genres. And discussed how to get a better result for genres classification. Finally, the f value reached 80% in our experiment.\",\"PeriodicalId\":314150,\"journal\":{\"name\":\"2017 International Conference on Computer, Information and Telecommunication Systems (CITS)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 International Conference on Computer, Information and Telecommunication Systems (CITS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CITS.2017.8035329\",\"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 Computer, Information and Telecommunication Systems (CITS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CITS.2017.8035329","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Essays in different text genres have different ideas and writing method. Prediction the text genres firstly will help get a better accuracy when predicting the success of literary or finding the beautiful words and sentences in the essay. And it will help set a different standard for different text genres when scoring the writing by computer. Words and structure can be effective in discriminating text genres. Narration and description has a difference in the words they use and the structure, we can separate them by analyze the difference. In this paper we find a method to separate the essay in different text genres by computer. We analyze the most effective features for distinguish genres. And discussed how to get a better result for genres classification. Finally, the f value reached 80% in our experiment.