SENTIMENT CLASSIFICATION ON TURKISH TWEETS ABOUT COVID-19 USING  LSTM NETWORK

Çataltaş, Mustafa; Üstünel, Büşra; Baykan, Nurdan

doi:10.36306/konjes.1173939

SENTIMENT CLASSIFICATION ON TURKISH TWEETS ABOUT COVID-19 USING LSTM NETWORK

Mustafa ÇATALTAŞ, (Konya Teknik Üniversitesi, Mühendislik ve Doğa Bilimleri Fakültesi, Bilgisayar Mühendisliği Bölümü, Konya, Türkiye)

Büşra ÜSTÜNEL, (Konya Teknik Üniversitesi, Mühendislik ve Doğa Bilimleri Fakültesi, Bilgisayar Mühendisliği Bölümü, Konya, Türkiye)

Nurdan AKHAN BAYKAN (Konya Teknik Üniversitesi, Mühendislik ve Doğa Bilimleri Fakültesi, Bilgisayar Mühendisliği Bölümü, Konya, Türkiye)

Konya mühendislik bilimleri dergisi (Online)

10 3

Yıl: 2023 Cilt: 11 Sayı: 2 Sayfa Aralığı: 341 - 353 Metin Dili: İngilizce DOI: 10.36306/konjes.1173939 İndeks Tarihi: 14-06-2023

SENTIMENT CLASSIFICATION ON TURKISH TWEETS ABOUT COVID-19 USING LSTM NETWORK

Öz:

As Covid-19 pandemic affected everyone in various aspects, people have been expressing their opinions on these aspects mostly on social media platforms because of the pandemic. These opinions play a crucial role in understanding the sentiments towards the pandemic. In this study, Turkish tweets on Covid-19 topic were collected from March 2020 to January 2021 and labelled as positive, negative, or neutral in terms of sentiment using BERT which is a pre-trained text classifier model. Using this labelled dataset, a set of experiments were carried out with SVM, Naive Bayes, K-Nearest Neighbors, and CNN-LSTM model machine learning algorithms for binary and multi-class classification tasks. Results of these experiments have shown that CNN-LSTM model outperforms other machine learning algorithms which are used in this study in both binary classification and multi-class classification tasks.

Anahtar Kelime: Sentiment analysis Turkish Twitter Classification LSTM

COVID-19 Hakkındaki Türkçe Tweetlerde LSTM Ağı Kullanılarak Duygu Sınıflandırması

Öz:

Covid-19 pandemisi herkesi çeşitli yönlerden etkilediğinden, pandemi nedeniyle insanlar daha çok sosyal medya platformlarında bu yönlere ilişkin görüşlerini dile getiriyorlar. Bu görüşler, pandemiye yönelik duyguları anlamada çok önemli bir rol oynamaktadır. Bu çalışmada, 2020'den 2021'e kadar Covid-19 konulu Türkçe tweet'ler toplanmış ve önceden eğitilmiş bir metin sınıflandırıcı modeli kullanılarak duygu açısından olumlu, olumsuz veya nötr olarak etiketlenmiştir. Bu etiketli veri kümesini kullanarak, ikili ve çok sınıflı sınıflandırma görevleri için SVM, Naive Bayes, K-Nearest Neighbors ve CNN-LSTM model makine öğrenme algoritmaları için bir dizi deney gerçekleştirilmiştir.

Anahtar Kelime:

Belge Türü: Makale Makale Türü: Araştırma Makalesi Erişim Türü: Erişime Açık

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APA	Çataltaş M, Üstünel B, Baykan N (2023). SENTIMENT CLASSIFICATION ON TURKISH TWEETS ABOUT COVID-19 USING LSTM NETWORK. , 341 - 353. 10.36306/konjes.1173939
Chicago	Çataltaş Mustafa,Üstünel Büşra,Baykan Nurdan SENTIMENT CLASSIFICATION ON TURKISH TWEETS ABOUT COVID-19 USING LSTM NETWORK. (2023): 341 - 353. 10.36306/konjes.1173939
MLA	Çataltaş Mustafa,Üstünel Büşra,Baykan Nurdan SENTIMENT CLASSIFICATION ON TURKISH TWEETS ABOUT COVID-19 USING LSTM NETWORK. , 2023, ss.341 - 353. 10.36306/konjes.1173939
AMA	Çataltaş M,Üstünel B,Baykan N SENTIMENT CLASSIFICATION ON TURKISH TWEETS ABOUT COVID-19 USING LSTM NETWORK. . 2023; 341 - 353. 10.36306/konjes.1173939
Vancouver	Çataltaş M,Üstünel B,Baykan N SENTIMENT CLASSIFICATION ON TURKISH TWEETS ABOUT COVID-19 USING LSTM NETWORK. . 2023; 341 - 353. 10.36306/konjes.1173939
IEEE	Çataltaş M,Üstünel B,Baykan N "SENTIMENT CLASSIFICATION ON TURKISH TWEETS ABOUT COVID-19 USING LSTM NETWORK." , ss.341 - 353, 2023. 10.36306/konjes.1173939
ISNAD	Çataltaş, Mustafa vd. "SENTIMENT CLASSIFICATION ON TURKISH TWEETS ABOUT COVID-19 USING LSTM NETWORK". (2023), 341-353. https://doi.org/10.36306/konjes.1173939

APA	Çataltaş M, Üstünel B, Baykan N (2023). SENTIMENT CLASSIFICATION ON TURKISH TWEETS ABOUT COVID-19 USING LSTM NETWORK. Konya mühendislik bilimleri dergisi (Online), 11(2), 341 - 353. 10.36306/konjes.1173939
Chicago	Çataltaş Mustafa,Üstünel Büşra,Baykan Nurdan SENTIMENT CLASSIFICATION ON TURKISH TWEETS ABOUT COVID-19 USING LSTM NETWORK. Konya mühendislik bilimleri dergisi (Online) 11, no.2 (2023): 341 - 353. 10.36306/konjes.1173939
MLA	Çataltaş Mustafa,Üstünel Büşra,Baykan Nurdan SENTIMENT CLASSIFICATION ON TURKISH TWEETS ABOUT COVID-19 USING LSTM NETWORK. Konya mühendislik bilimleri dergisi (Online), vol.11, no.2, 2023, ss.341 - 353. 10.36306/konjes.1173939
AMA	Çataltaş M,Üstünel B,Baykan N SENTIMENT CLASSIFICATION ON TURKISH TWEETS ABOUT COVID-19 USING LSTM NETWORK. Konya mühendislik bilimleri dergisi (Online). 2023; 11(2): 341 - 353. 10.36306/konjes.1173939
Vancouver	Çataltaş M,Üstünel B,Baykan N SENTIMENT CLASSIFICATION ON TURKISH TWEETS ABOUT COVID-19 USING LSTM NETWORK. Konya mühendislik bilimleri dergisi (Online). 2023; 11(2): 341 - 353. 10.36306/konjes.1173939
IEEE	Çataltaş M,Üstünel B,Baykan N "SENTIMENT CLASSIFICATION ON TURKISH TWEETS ABOUT COVID-19 USING LSTM NETWORK." Konya mühendislik bilimleri dergisi (Online), 11, ss.341 - 353, 2023. 10.36306/konjes.1173939
ISNAD	Çataltaş, Mustafa vd. "SENTIMENT CLASSIFICATION ON TURKISH TWEETS ABOUT COVID-19 USING LSTM NETWORK". Konya mühendislik bilimleri dergisi (Online) 11/2 (2023), 341-353. https://doi.org/10.36306/konjes.1173939