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2020 IEEE International Conference on Information Technologies

Sentiment Analysis with Instagram Data

Pinar Kirci
Elanur Gulbak
Bursa Uludag University
Istanbul University-Cerrahpa┼ča
Turkey
Abstract:

In the study, the comparison of two smart phone brands was made by using emoji classification. In the first part of the study, the relevant instagram pages were reached and the comments of the first posts were put into practice with Selenium. Here, the main aim is to extract data without using additional libraries and user logins. Thus, proper waiting times are added for loading the page. In the second part of the study, the collected emojis were classified as positive, negative and neutral, and the results were illustrated with a pie chart.

Key words:
Instagram
Emotion analysis
Data