Author/Authors :
AKGÜL, Eyüp Sercan Yıldız Teknik Üniversitesi - Elektrik Elektronik Fakültesi - Bilgisayar Mühendisliği Bölümü, Türkiye , ERTANO, Caner Yıldız Teknik Üniversitesi - Elektrik Elektronik Fakültesi - Bilgisayar Mühendisliği Bölümü, Türkiye , DİRİ, Banu Yıldız Teknik Üniversitesi - Elektrik Elektronik Fakültesi - Bilgisayar Mühendisliği Bölümü, Turkey
Title Of Article :
Sentiment analysis with Twitter
Abstract :
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.
NaturalLanguageKeyword :
Sentiment analysis , n , gram , Lexicon
JournalTitle :
Pamukkale University Journal Of Engineering Sciences
