Sentiment analysis with Twitter

Cilt: 22 Sayı: 2 1 Mayıs 2016
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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

-

Yazarlar

Eyüp Sercan Akgül Bu kişi benim

Caner Ertano Bu kişi benim

Yayımlanma Tarihi

1 Mayıs 2016

Gönderilme Tarihi

2 Mayıs 2016

Kabul Tarihi

-

Yayımlandığı Sayı

Yıl 2016 Cilt: 22 Sayı: 2

Kaynak Göster

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