Emotions Analytic System (EAS) on Instagram social network data

Nowadays, thanks to spread of social media, and large amount of data in Internet, the need for changing how we look and interpret data is evolving. Visualization is one of the most important fields in data science. About growing usage of social media, analyzing the data they contain is crucial. In this research, the Emotion Analytic System on Instagram social network data designed and developed. In this system, we analyze emotions and words that user writes, and visualize them by visualizing techniques. Over 370,000 Instagram comments have been collected with the help of data crawlers that we developed, after that we prepared the data and preprocessed them; including normalizing, finding the keywords and etc. The system is developed by Python.

This Dataset has over 370,000 preprocessed comments (that most of them are in Persian) from 40 instagram channels. These comments are crawled from 12 April 2017 (1396/01/26 A.H.S) to 29 July 2017 (1396/05/07 A.H.S).

If you use this dataset in your publications, please cite this paper:

@article {
author = {Kiaei, Seyed Faridoddin and Dehghan Rouzi, Mohammad and Farzi, Saeed},
title = {Designing and Implementing an Emotion Analytic System (EAS) on Instagram Social Network Data},
journal = {International Journal of Web Research},
volume = {2},
number = {2},
pages = {9-14},
year  = {2019},
publisher = {University of Science and Culture},
issn = {2645-4335}, 
eissn = {2645-4343}, 
doi = {10.22133/ijwr.2020.225574.1052},
keywords = {Emotion Analysis,visualization,Instagram,Election},	
url = {https://ijwr.usc.ac.ir/article_110287.html},
eprint = {https://ijwr.usc.ac.ir/article_110287_ad2b34be8792fd3e55ae13ea0f367b7a.pdf}
}