{"title":"使用众包方法生成用于波斯语情感分析的Instagram数据集","authors":"Mahsa Heidari, P. Shamsinejad","doi":"10.1109/ICWR49608.2020.9122270","DOIUrl":null,"url":null,"abstract":"with the rapid growth of using the internet and social media, people can easily share their opinions on these platforms. due to this fact, user's comments are considering as a rich source for natural language processing tasks such as sentiment analysis. This paper represents our work on producing Insta-text, which is an Instagram comments Persian language sentiment analysis dataset. In this study, about 111,000 Instagram comments have been scrapped and about 9,000 of them have been labeled using the crowdsourcing method. Word2vec model also has been used to validate the dataset.","PeriodicalId":231982,"journal":{"name":"2020 6th International Conference on Web Research (ICWR)","volume":"74 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Producing An Instagram Dataset For Persian Language Sentiment Analysis Using Crowdsourcing Method\",\"authors\":\"Mahsa Heidari, P. Shamsinejad\",\"doi\":\"10.1109/ICWR49608.2020.9122270\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"with the rapid growth of using the internet and social media, people can easily share their opinions on these platforms. due to this fact, user's comments are considering as a rich source for natural language processing tasks such as sentiment analysis. This paper represents our work on producing Insta-text, which is an Instagram comments Persian language sentiment analysis dataset. In this study, about 111,000 Instagram comments have been scrapped and about 9,000 of them have been labeled using the crowdsourcing method. Word2vec model also has been used to validate the dataset.\",\"PeriodicalId\":231982,\"journal\":{\"name\":\"2020 6th International Conference on Web Research (ICWR)\",\"volume\":\"74 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 6th International Conference on Web Research (ICWR)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICWR49608.2020.9122270\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 6th International Conference on Web Research (ICWR)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICWR49608.2020.9122270","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Producing An Instagram Dataset For Persian Language Sentiment Analysis Using Crowdsourcing Method
with the rapid growth of using the internet and social media, people can easily share their opinions on these platforms. due to this fact, user's comments are considering as a rich source for natural language processing tasks such as sentiment analysis. This paper represents our work on producing Insta-text, which is an Instagram comments Persian language sentiment analysis dataset. In this study, about 111,000 Instagram comments have been scrapped and about 9,000 of them have been labeled using the crowdsourcing method. Word2vec model also has been used to validate the dataset.
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