Producing An Instagram Dataset For Persian Language Sentiment Analysis Using Crowdsourcing Method

Mahsa Heidari, P. Shamsinejad
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引用次数: 5

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.
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使用众包方法生成用于波斯语情感分析的Instagram数据集
随着互联网和社交媒体使用的快速增长,人们可以很容易地在这些平台上分享他们的观点。由于这个事实,用户的评论被认为是情感分析等自然语言处理任务的丰富来源。本文代表了我们在生成Insta-text方面的工作,这是一个Instagram评论波斯语情感分析数据集。在这项研究中,大约有111000条Instagram评论被废弃,其中大约9000条评论使用众包的方法被标记。Word2vec模型也被用来验证数据集。
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