一个用于藏族情感分析的微博数据集

2017 International Conference on Asian Language Processing (IALP) Pub Date : 2017-12-01 DOI:10.1109/IALP.2017.8300626

Yong Cuo, X. Shi, Nyima Trashi, Yidong Chen

{"title":"一个用于藏族情感分析的微博数据集","authors":"Yong Cuo, X. Shi, Nyima Trashi, Yidong Chen","doi":"10.1109/IALP.2017.8300626","DOIUrl":null,"url":null,"abstract":"We introduce TSTD, a microblog dataset for Tibetan sentiment analysis which is publicly available. It consists of about 10K Tibetan microblogs and classified positive, negative and neutral. We present the properties of the dataset and run experiments for 3-way sentiment classification in Tibetan using feature-based and deep learning systems on the dataset.","PeriodicalId":183586,"journal":{"name":"2017 International Conference on Asian Language Processing (IALP)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A microblog dataset for tibetan sentiment analysis\",\"authors\":\"Yong Cuo, X. Shi, Nyima Trashi, Yidong Chen\",\"doi\":\"10.1109/IALP.2017.8300626\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We introduce TSTD, a microblog dataset for Tibetan sentiment analysis which is publicly available. It consists of about 10K Tibetan microblogs and classified positive, negative and neutral. We present the properties of the dataset and run experiments for 3-way sentiment classification in Tibetan using feature-based and deep learning systems on the dataset.\",\"PeriodicalId\":183586,\"journal\":{\"name\":\"2017 International Conference on Asian Language Processing (IALP)\",\"volume\":\"33 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 International Conference on Asian Language Processing (IALP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IALP.2017.8300626\",\"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 Asian Language Processing (IALP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IALP.2017.8300626","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 1

摘要

我们介绍了一个公开的藏族情感分析微博数据集TSTD。它由大约1万个藏语微博组成，分为正面、负面和中性。我们展示了数据集的属性，并在数据集上使用基于特征和深度学习系统运行藏文三向情感分类实验。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

A microblog dataset for tibetan sentiment analysis

We introduce TSTD, a microblog dataset for Tibetan sentiment analysis which is publicly available. It consists of about 10K Tibetan microblogs and classified positive, negative and neutral. We present the properties of the dataset and run experiments for 3-way sentiment classification in Tibetan using feature-based and deep learning systems on the dataset.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

2017 International Conference on Asian Language Processing (IALP)

自引率

0.00%

发文量