Sentiment Analysis using Transformers and Machine Learning Models

Ilgün H., Kılıç E.

6th International Conference on Computer Science and Engineering, UBMK 2021, Ankara, Türkiye, 15 - 17 Eylül 2021, ss.42-45 identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Doi Numarası: 10.1109/ubmk52708.2021.9558931
  • Basıldığı Şehir: Ankara
  • Basıldığı Ülke: Türkiye
  • Sayfa Sayıları: ss.42-45
  • Anahtar Kelimeler: Logistic Regression, Machine Learning, Support Vector Machines, Transformers
  • Ondokuz Mayıs Üniversitesi Adresli: Evet

Özet

Social media is an online network environment where internet users express their positive or negative opinions about any subject, business, product, or situation. It is an environment where users can view and share relevant content, articles, news, thoughts, daily events and all kinds of visual and audio materials thanks to fast access. Social media sentiment analysis is a popular field for various industries and academic studies. These studies, also known as idea mining, are carried out to classify the general feeling in a text. Studies have been conducted on this subject with machine learning models in big data and natural language processing. In our research, sentiment analysis will be shown on text data sets with machine learning models and transformers.