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
شماره ركورد
40803
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.
From Page
106
NaturalLanguageKeyword
Sentiment analysis , n , gram , Lexicon
JournalTitle
Pamukkale University Journal Of Engineering Sciences
To Page
110
JournalTitle
Pamukkale University Journal Of Engineering Sciences
Link To Document