SENTIMENT ANALYSIS OF COMMENTS MADE BY USERS ON SOCIAL MEDIA ON THE CURRENCY-PROTECTED DEPOSIT SYSTEM

Nurcan Kostak; İnan Demirkol

Makale detayları

SENTIMENT ANALYSIS OF COMMENTS MADE BY USERS ON SOCIAL MEDIA ON THE CURRENCY-PROTECTED DEPOSIT SYSTEM

Yazarlar:

Nurcan Kostak | İnan Demirkol

Yayıncı:

Zonguldak Bulent Ecevit University

Ana Başlıklar:

Ekonometrik ve İstatistiksel Yöntemler | Finans ve Yatırım (Diğer)

Dergi:

Uluslararası Yönetim İktisat ve İşletme Dergisi Vol.20 Issue ICMEB'24 Özel Sayı, pp.321-334

Belge Tipi:

Makale

Yayın Tarihi:

10/2024

Belge Dili:

Türkçe

Document ID (Org No.):

2001317418

pISSN:

2147-9208

Anahtar kelimeler:

Özet:

 X is a social media channel where people share their opinions, thoughts and feelings about current issues. X users share their posts through tweets. Therefore, the posts on X provide a perspective on understanding investors attitudes towards currency-protected deposits CPD. Investors comments on the X application are analyzed through sentiment analysis, which is one of the methods that help us understand customers opinions about products and companies. This study aims to understand users attitudes towards the app by analyzing X app users feelings about CPD. The study analyzed the sentiments of individuals who posted about KKM CPD using Turkish X platform data. The study used 500 posts made with the hashtag KKM CPD on the X platform between December 21, 2021, and December 22, 2022. Retweets were not included in the analysis. As a result of the analysis, text mining techniques were applied to X data, which were classified as positive and negative. It was determined that 87 of the tweets were negative, and 13 were positive. Classification results were evaluated using precision, sensitivity and F1 criteria. As a result of the evaluation, the precision criterion showed the highest value, with 100 for negative comments and 100 for positive comments. The F1 score was 95 for negative comments and 44 for positive comments. The accuracy rate of the model was determined to be 90.

 X is a social media channel where people share their opinions, thoughts and feelings about current issues. X users share their posts through tweets. Therefore, the posts on X provide a perspective on understanding investors attitudes towards currency-protected deposits CPD. Investors comments on the X application are analyzed through sentiment analysis, which is one of the methods that help us understand customers opinions about products and companies. This study aims to understand users attitudes towards the app by analyzing X app users feelings about CPD. The study analyzed the sentiments of individuals who posted about KKM CPD using Turkish X platform data. The study used 500 posts made with the hashtag KKM CPD on the X platform between December 21, 2021, and December 22, 2022. Retweets were not included in the analysis. As a result of the analysis, text mining techniques were applied to X data, which were classified as positive and negative. It was determined that 87 of the tweets were negative, and 13 were positive. Classification results were evaluated using precision, sensitivity and F1 criteria. As a result of the evaluation, the precision criterion showed the highest value, with 100 for negative comments and 100 for positive comments. The F1 score was 95 for negative comments and 44 for positive comments. The accuracy rate of the model was determined to be 90.

 X is a social media channel where people share their opinions, thoughts and feelings about current issues. X users share their posts through tweets. Therefore, the posts on X provide a perspective on understanding investors attitudes towards currency-protected deposits CPD. Investors comments on the X application are analyzed through sentiment analysis, which is one of the methods that help us understand customers opinions about products and companies. This study aims to understand users attitudes towards the app by analyzing X app users feelings about CPD. The study analyzed the sentiments of individuals who posted about KKM CPD using Turkish X platform data. The study used 500 posts made with the hashtag KKM CPD on the X platform between December 21, 2021, and December 22, 2022. Retweets were not included in the analysis. As a result of the analysis, text mining techniques were applied to X data, which were classified as positive and negative. It was determined that 87 of the tweets were negative, and 13 were positive. Classification results were evaluated using precision, sensitivity and F1 criteria. As a result of the evaluation, the precision criterion showed the highest value, with 100 for negative comments and 100 for positive comments. The F1 score was 95 for negative comments and 44 for positive comments. The accuracy rate of the model was determined to be 90.

 X, insanların güncel konular hakkındaki görüşlerini, düşüncelerini ve duygularını paylaştığı bir sosyal medya mecrasıdır. X kullanıcıları tweet aracılığıyla paylaşımlarını gerçekleştirmektedirler. Bu sebeple X uygulamasındaki paylaşımlar yatırımcıların Kur Korumalı Mevduat KKM hakkındaki tutumlarını anlamak için bir bakış açısı sunmaktadır. Yatırımcıların X uygulamasındaki yorumları, müşterilerin ürünler ve şirketler hakkındaki düşüncelerini anlamamıza yardımcı olan yöntemlerden biri olan duygu analizi ile incelenmiştir. Çalışma, X uygulaması kullanıcılarının KKM hakkındaki duygularını analiz ederek yatırımcıların KKMye yönelik tutumlarını anlamayı amaçlamaktadır. Çalışmada KKM hakkında paylaşımda bulunan bireylerin duyguları Türkçe X platformu verileri kullanılarak analiz edilmiştir. Çalışmada X platformu üzerinden 21 Aralık 2021  22 Aralık 2022 tarihleri arasında KKM hastahgi ile yapılmış 500 paylaşım kullanılmıştır. Retweetler analize dâhil edilmemiştir. Analiz sonucunda pozitif ve negatif olarak sınıflandırılan X verilerine metin madenciliği teknikleri uygulanmıştır. Atılan tweetlerin 87sinin olumsuz, 13ünün olumlu olduğu tespit edilmiştir. Sınıflandırma sonuçları kesinlik, duyarlılık ve F1 kriterleri kullanılarak değerlendirilmiştir. Değerlendirme sonucunda, olumsuz yorumlar için duyarlılık kriteri 100, olumlu yorumlar için kesinlik kriteri ise 100 ile en yüksek değeri göstermiştir. F1 puanı, olumsuz yorumlar için  95, olumlu yorumlar için  44 hesaplanmıştır. Modelin doğruluk oranı 90 olarak tespit edilmiştir.

Makale detayları

SENTIMENT ANALYSIS OF COMMENTS MADE BY USERS ON SOCIAL MEDIA ON THE CURRENCY-PROTECTED DEPOSIT SYSTEM

Yazarlar:

Nurcan Kostak | İnan Demirkol

Yayıncı:

Zonguldak Bulent Ecevit University

Ana Başlıklar:

Ekonometrik ve İstatistiksel Yöntemler | Finans ve Yatırım (Diğer)

Dergi:

Uluslararası Yönetim İktisat ve İşletme Dergisi Vol.20 Issue ICMEB'24 Özel Sayı, pp.321-334

Belge Tipi:

Makale

Yayın Tarihi:

10/2024

Belge Dili:

Türkçe

Document ID (Org No.):

2001317418

pISSN:

2147-9208

Currency-Protected Deposit System

Sentiment Analysis

Social MediaKur Korumalı Mevduat Sistemi

Duygu Analizi

Sosyal Medya

Sayı

Makale detayları

SENTIMENT ANALYSIS OF COMMENTS MADE BY USERS ON SOCIAL MEDIA ON THE CURRENCY-PROTECTED DEPOSIT SYSTEM

Yazarlar: Nurcan Kostak | İnan Demirkol

Yayıncı: Zonguldak Bulent Ecevit University

Ana Başlıklar: Ekonometrik ve İstatistiksel Yöntemler | Finans ve Yatırım (Diğer)

Dergi: Uluslararası Yönetim İktisat ve İşletme Dergisi Vol.20 Issue ICMEB'24 Özel Sayı, pp.321-334

Belge Tipi: Makale

Yayın Tarihi: 10/2024

Belge Dili: Türkçe

Document ID (Org No.): 2001317418

pISSN: 2147-9208

Currency-Protected Deposit System

Sentiment Analysis

Social MediaKur Korumalı Mevduat Sistemi

Duygu Analizi

Sosyal Medya

Sayı

Yazarlar:

Nurcan Kostak | İnan Demirkol

Yayıncı:

Zonguldak Bulent Ecevit University

Ana Başlıklar:

Ekonometrik ve İstatistiksel Yöntemler | Finans ve Yatırım (Diğer)

Dergi:

Uluslararası Yönetim İktisat ve İşletme Dergisi Vol.20 Issue ICMEB'24 Özel Sayı, pp.321-334

Belge Tipi:

Makale

Yayın Tarihi:

10/2024

Belge Dili:

Türkçe

Document ID (Org No.):

2001317418

pISSN:

2147-9208