Sosyal Medyada Kripto Para: Coin Piyasasına Yönelik Dijital Söylemin Analizi

Year 2024, Volume: 9 Issue: 23, 202 - 223, 29.02.2024

Hafize Nurgül Durmuş Şenyapar

https://doi.org/10.25204/iktisad.1419066

Abstract

Bu çalışma, kapsamlı bir sosyal medya söylem analizi yoluyla kripto para birimini çevreleyen kamu duyarlılığının dinamik manzarasını araştırmaktadır. Python Selenium Kütüphanesi kullanılarak büyük platformlardaki (X, Facebook, Instagram ve LinkedIn) 1000 genel profilden veriler sistematik olarak toplanmıştır. R Studio’da gelişmiş metin madenciliği teknikleri kullanılarak ‘Syuzhet’ paketi ile duygu analizi ve ‘tm’ paketi ile kelime sıklığı analizi yapılmıştır. Sonuçlar, başta öfke ve kayıp olmak üzere olumsuzluk ifadeleriyle iç içe geçmiş, baskın beklenti ve pozitiflik duygularıyla karakterize edilen incelikli bir duygusal manzarayı ortaya çıkarmıştır. Kelime sıklığı analizi, yerleşik kripto para birimleri (örn. Bitcoin, Ethereum), blok zinciri teknolojisi ve kripto para kullanımının pratik ve finansal yönleri gibi temel temaları vurgulamıştır. Çalışmada, teknik ilgi, finansal spekülasyon ve düzenleyici ve ekonomik gelişmelere verilen tepkileri aydınlatılmaktadır. Yatırımcılar ve politika yapıcılar da dahil olmak üzere paydaşlar için çok önemli bilgiler sunan bu araştırma, kripto para piyasalarının değişken doğasını ve blok zinciri teknolojisinin dönüştürücü potansiyelini vurgulayarak kamu duyarlılığının akademik olarak anlaşılmasına katkıda bulunmakta ve sürekli gelişen kripto para ekosisteminde politika, yatırım ve teknolojik yenilikleri bilgilendirmek için kamu duyarlılığının sürekli izlenmesi çağrısında bulunmaktadır.

Keywords

Duygu analizi, kripto para, sosyal medya veri madenciliği, coin piyasası, kamuoyu analitiği

Cryptocurrency on Social Media: Analyzing the Digital Discourse Towards the Coin Market

Abstract

This study delves into the dynamic landscape of public sentiment surrounding cryptocurrency through a comprehensive social media discourse analysis. Employing the Python Selenium library, data from 1000 public profiles across major platforms—X, Facebook, Instagram, and LinkedIn—were systematically collected. Using advanced text-mining techniques in R Studio, sentiment analysis was conducted with the ‘Syuzhet’ package and word frequency analysis via the ‘tm’ package. The results unveiled a nuanced emotional landscape characterized by dominant sentiments of anticipation and positivity, interwoven with expressions of negativity, notably anger, and loss. Word frequency analysis highlighted vital themes such as established cryptocurrencies (e.g., Bitcoin, Ethereum), blockchain technology, and practical and financial aspects of cryptocurrency usage. The study illuminated technical interest, financial speculation, and reactions to regulatory and economic developments. Offering insights crucial for stakeholders, including investors and policymakers, this research contributes to the academic understanding of public sentiment, emphasizing the volatile nature of crypto-currency markets and the transformative potential of blockchain technology and calls for ongoing monitoring of public sentiment to inform policy, investment, and technological innovation in the ever-evolving cryptocurrency ecosystem.

Keywords

Sentiment Analysis, Cryptocurrency, Social Media Data Mining, Coin Market, Public Opinion Analytics

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