EN
TR
Sentiment analysis with Twitter
Öz
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.
Anahtar Kelimeler
Kaynakça
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Ayrıntılar
Birincil Dil
İngilizce
Konular
-
Bölüm
-
Yayımlanma Tarihi
1 Mayıs 2016
Gönderilme Tarihi
2 Mayıs 2016
Kabul Tarihi
-
Yayımlandığı Sayı
Yıl 2016 Cilt: 22 Sayı: 2
APA
Akgül, E. S., Ertano, C., & Diri, B. (2016). Sentiment analysis with Twitter. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi, 22(2), 106-110. https://izlik.org/JA26GW97TP
AMA
1.Akgül ES, Ertano C, Diri B. Sentiment analysis with Twitter. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi. 2016;22(2):106-110. https://izlik.org/JA26GW97TP
Chicago
Akgül, Eyüp Sercan, Caner Ertano, ve Banu Diri. 2016. “Sentiment analysis with Twitter”. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi 22 (2): 106-10. https://izlik.org/JA26GW97TP.
EndNote
Akgül ES, Ertano C, Diri B (01 Mayıs 2016) Sentiment analysis with Twitter. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi 22 2 106–110.
IEEE
[1]E. S. Akgül, C. Ertano, ve B. Diri, “Sentiment analysis with Twitter”, Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi, c. 22, sy 2, ss. 106–110, May. 2016, [çevrimiçi]. Erişim adresi: https://izlik.org/JA26GW97TP
ISNAD
Akgül, Eyüp Sercan - Ertano, Caner - Diri, Banu. “Sentiment analysis with Twitter”. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi 22/2 (01 Mayıs 2016): 106-110. https://izlik.org/JA26GW97TP.
JAMA
1.Akgül ES, Ertano C, Diri B. Sentiment analysis with Twitter. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi. 2016;22:106–110.
MLA
Akgül, Eyüp Sercan, vd. “Sentiment analysis with Twitter”. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi, c. 22, sy 2, Mayıs 2016, ss. 106-10, https://izlik.org/JA26GW97TP.
Vancouver
1.Eyüp Sercan Akgül, Caner Ertano, Banu Diri. Sentiment analysis with Twitter. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi [Internet]. 01 Mayıs 2016;22(2):106-10. Erişim adresi: https://izlik.org/JA26GW97TP