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

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Heidari Mahsa; Shamsinejad Pirooz

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Seminar Paper

Paper Information

Seminar: INTERNATIONAL CONFERENCE ON WEB RESEARCH
Year:2020 | Issue:6

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Title

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

Author(s)

Heidari Mahsa | Shamsinejad Pirooz

Keywords

Nnatural Language Processing

Instagram

Sentiment Analysis

Persian Dataset

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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APA: Copy

Heidari, Mahsa, & Shamsinejad, Pirooz. (2020). Producing An Instagram Dataset For Persian Language Sentiment Analysis Using Crowdsourcing Method. INTERNATIONAL CONFERENCE ON WEB RESEARCH. SID. https://sid.ir/paper/949207/en

Vancouver: Copy

Heidari Mahsa, Shamsinejad Pirooz. Producing An Instagram Dataset For Persian Language Sentiment Analysis Using Crowdsourcing Method. 2020. Available from: https://sid.ir/paper/949207/en

IEEE: Copy

Mahsa Heidari, and Pirooz Shamsinejad, “Producing An Instagram Dataset For Persian Language Sentiment Analysis Using Crowdsourcing Method,” presented at the INTERNATIONAL CONFERENCE ON WEB RESEARCH. 2020, [Online]. Available: https://sid.ir/paper/949207/en

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