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Twitter verileri ile duygu analizi

Sentiment analysis with Twitter

Journal Name:

  • Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi

Publication Year:

  • 2016
DOI: 
10.5505/pajes.2015.37268

Key Words:

Keywords (Original Language):

Author NameUniversity of AuthorFaculty of Author
Abstract (2. Language): 
Sentimental Twitter software is parsing, analyzing and reporting Twitter data, giving service to individuals and corporate users via its user friendly graphical user interface. Each tweet is classified as positive, negative or neutral in Sentimental Twitter. In this study, both lexicon and n-gram method has been used to perform and implement two different methods. As a result the lexicon method has been measured more performance than the n-gram method.
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Abstract (Original Language): 
Duygusal Twitter, kullanıcıya kullanım kolaylığı sağlayan ve görsel kullanıcı ara yüzü ile hem bireysel, hem de kurumsal kullanıcılar için Twitter verisini ayrıştıran, analiz eden ve raporlayan bir programdır. Duygusal Twitter’da her tweet için olumlu, olumsuz ve nötr olmak üzere 3 farklı sonuç döndürülmektedir. Çalışmada hem sözlük hem de n-gram modeli kullanılarak iki yöntem geliştirilmiştir. Sözlük yöntemi, n-gram yöntemine göre daha başarılı sonuçlar vermiştir.
FULL TEXT (PDF): 
PDF icon arastirmax-twitter-verileri-ile-duygu-analizi.pdf
  • 2
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  • Turkish

REFERENCES

References: 

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