Journals / Avrupa Bilim ve Teknoloji Dergisi / 2026 / Özel Sayı

Sentiment Analysis with Instagram Data

Instagram Verileri ile Duygu Analizi

Pınar Kırcı(BURSA ULUDAĞ ÜNİVERSİTESİ)
Elanur Gülbak(İSTANBUL ÜNİVERSİTESİ - CERRAHPAŞA)
Pages
360–364
Publication Date
2020-08-15
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

In the second part of the study, the collected emojis were classified as positive, negative and neutral, and the results were presented in a pie chart.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:In this study, as a result of emoji classification, comparison of two smart phone brands was made.
📊
Key Findings & Data:In the first part of the study, thanks to Selenium, the relevant instagram pages were reached and the comments of the first posts were put into practice.
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Conclusion & Impact:In the second part of the study, the collected emojis were classified as positive, negative and neutral, and the results were presented in a pie chart.
🔬Design:Araştırma Makalesi
📍Scope:Comprehensive Sample
⚙️Variables:Instagram · Duygu analizi · Veri

Abstract

In this study, as a result of emoji classification, comparison of two smart phone brands was made. In the first part of the study, thanks to Selenium, the relevant instagram pages were reached and the comments of the first posts were put into practice. In this section, it is aimed to extract data without using additional libraries and user logins. For this purpose, 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 presented in a pie chart.

Özet

Bu çalışmada emoji sınıflandırılması sonucunda iki adet akıllı telefon markasının karşılaştırılması yapılmıştır. Çalışmanın birinci kısmında Selenium sayesinde ilgili instagram sayfalarına ulaşılarak ilk gönderilerin yorumları uygulamaya çekilmiştir. Bu kısımda ek kütüphane kullanmadan, kullanıcı girişi yapmadan verilerin çekilmesi hedeflenmektedir. Bu amaçla sayfanın yüklenmesini bekleyen uygun bekleme süreleri eklenmiştir. Çalışmanın ikinci kısmında ise çekilen emojiler başlangıçta ayarlandığı üzere pozitif, negatif ve nötr olarak sınıflandırılmış ve sonuç pasta grafiğinde oranlara dökülmüştür.

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Cite This Article

Kırcı, P., Gülbak, E. (2020). Sentiment Analysis with Instagram Data. Avrupa Bilim ve Teknoloji Dergisi, Özel Sayı, 360–364. https://doi.org/10.31590/ejosat.780129

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