分析沙特的推文

2015 First International Conference on Arabic Computational Linguistics (ACLing) Pub Date : 2015-04-17 DOI:10.1109/ACLING.2015.23

Nora Al-Twairesh, H. Al-Khalifa, A. Al-Salman

{"title":"分析沙特的推文","authors":"Nora Al-Twairesh, H. Al-Khalifa, A. Al-Salman","doi":"10.1109/ACLING.2015.23","DOIUrl":null,"url":null,"abstract":"Recently Arabic dialects are receiving attention from the NLP research community due to their high usage in social media. One of the challenges of sentiment analysis of social media is the use of dialects. Since our ongoing research is on sentiment analysis of Saudi tweets, we conduct a pilot study to discover the percentage of Modern Standard Arabic (MSA) use by Saudi tweeters. The preliminary results show that 80% of the tweets used in the study are in MSA. Some phenomena found about the use of dialect in Saudi tweets are highlighted.","PeriodicalId":404268,"journal":{"name":"2015 First International Conference on Arabic Computational Linguistics (ACLing)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"Towards Analyzing Saudi Tweets\",\"authors\":\"Nora Al-Twairesh, H. Al-Khalifa, A. Al-Salman\",\"doi\":\"10.1109/ACLING.2015.23\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Recently Arabic dialects are receiving attention from the NLP research community due to their high usage in social media. One of the challenges of sentiment analysis of social media is the use of dialects. Since our ongoing research is on sentiment analysis of Saudi tweets, we conduct a pilot study to discover the percentage of Modern Standard Arabic (MSA) use by Saudi tweeters. The preliminary results show that 80% of the tweets used in the study are in MSA. Some phenomena found about the use of dialect in Saudi tweets are highlighted.\",\"PeriodicalId\":404268,\"journal\":{\"name\":\"2015 First International Conference on Arabic Computational Linguistics (ACLing)\",\"volume\":\"54 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-04-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 First International Conference on Arabic Computational Linguistics (ACLing)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ACLING.2015.23\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 First International Conference on Arabic Computational Linguistics (ACLing)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ACLING.2015.23","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 9

摘要

最近，阿拉伯语方言在社交媒体上的使用率很高，受到了NLP研究界的关注。社交媒体情感分析的挑战之一是方言的使用。由于我们正在进行的研究是对沙特推文的情绪分析，我们进行了一项试点研究，以发现沙特推特用户使用现代标准阿拉伯语(MSA)的百分比。初步结果表明，研究中使用的推文中有80%是MSA。重点分析了沙特阿拉伯推文中方言使用的一些现象。

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

Towards Analyzing Saudi Tweets

Recently Arabic dialects are receiving attention from the NLP research community due to their high usage in social media. One of the challenges of sentiment analysis of social media is the use of dialects. Since our ongoing research is on sentiment analysis of Saudi tweets, we conduct a pilot study to discover the percentage of Modern Standard Arabic (MSA) use by Saudi tweeters. The preliminary results show that 80% of the tweets used in the study are in MSA. Some phenomena found about the use of dialect in Saudi tweets are highlighted.

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

2015 First International Conference on Arabic Computational Linguistics (ACLing)

自引率

0.00%

发文量