Twitter verileri ile duygu analizi

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 dönd...
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Autor*in:	Eyüp Sercan AKGÜL [verfasserIn] Caner ERTANO [verfasserIn] Banu DİRİ [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch ; Türkisch

Erschienen:	2016

Schlagwörter:	- Duygu analizi n-gram Sözlük

Übergeordnetes Werk:	In: Pamukkale University Journal of Engineering Sciences - Pamukkale University, 2015, 22(2016), 2, Seite 106-110
Übergeordnetes Werk:	volume:22 ; year:2016 ; number:2 ; pages:106-110

Links:	Link aufrufen Link aufrufen Journal toc Journal toc

Katalog-ID:	DOAJ010415882

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author	Eyüp Sercan AKGÜL
spellingShingle	Eyüp Sercan AKGÜL misc TA1-2040 misc - misc Duygu analizi misc n-gram misc Sözlük misc Engineering (General). Civil engineering (General) Twitter verileri ile duygu analizi
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topic_title	TA1-2040 Twitter verileri ile duygu analizi - Duygu analizi n-gram Sözlük
topic	misc TA1-2040 misc - misc Duygu analizi misc n-gram misc Sözlük misc Engineering (General). Civil engineering (General)
topic_unstemmed	misc TA1-2040 misc - misc Duygu analizi misc n-gram misc Sözlük misc Engineering (General). Civil engineering (General)
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title	Twitter verileri ile duygu analizi
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title_full	Twitter verileri ile duygu analizi
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title_sort	twitter verileri ile duygu analizi
callnumber	TA1-2040
title_auth	Twitter verileri ile duygu analizi
abstract	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.
abstractGer	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.
abstract_unstemmed	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.
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title_short	Twitter verileri ile duygu analizi
url	https://doaj.org/article/9e6a243d787e455d84d9f13f82900dbf http://dergipark.org.tr/pajes/issue/20566/219180?publisher=pamukkale https://doaj.org/toc/1300-7009 https://doaj.org/toc/2147-5881
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up_date	2024-07-03T14:42:21.521Z
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