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Review of Sentiment Analysis and Opinion Mining Algorithms

Year 2017, Volume: 3 Issue: 1, 75 - 111, 24.06.2017

Ümit Can Bilal Alataş

Abstract

Sentiment Analysis or Opinion Mining is an important
field in text mining.  Nowadays the
products which are produced by companies or persons are reached to consumers
mercurially and reviews about these products issued on web pages. As understood
easily these reviews are very significant for producers. In addition to that,
Sentiment Analysis can be used from financial field to medicine field.
Sentiment Analysis investigates a text that has a positive, negative or a
neutral meaning. In general, we can imagine Sentiment Analysis as the
computational treatment of opinions, sentiments, and subjectivity of text.



In this study, a research about Sentiment Analysis has
been performed and Sentiment Analysis classification techniques have been
explained with its all parts.  Many
articles related with Sentiment Analysis have been studied and briefly
explained. Then, one application about Sentiment Analysis has been shown for
understanding more about Sentiment Analysis. Consequently, a general assessment
of this issue has been done and the study has been finished with the result
section.

Keywords

Opinion mining sentiment analysis sentiment analysis algorithms sentiment analysis applications

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Duygu Analizi ve Fikir Madenciliği Algoritmalarının İncelenmesi

Year 2017, Volume: 3 Issue: 1, 75 - 111, 24.06.2017

Ümit Can Bilal Alataş

Abstract

Duygu Analizi veya Fikir Madenciliği, metin
madenciliğinin önemli bir alanı ve son yılların önemli araştırma konularından
biridir. Günümüzde şirketlerin veya kişilerin ürettikleri ürünler çok hızlı bir
şekilde tüketiciye ulaşmakta ve bu ürünlerle ilgili yapılan yorumlarda gelişen
teknoloji ile beraber internet dünyasına yansımaktadır. Bu yorumların ne anlama
geldiği üreticiler için çok önemlidir. Bunun dışında Duygu Analizi veya Fikir
Madenciliği finanstan tutun da tıp alanına kadar birçok alanda kullanılabilir.
Duygu Analizi; bir metni ele alarak bu metnin olumlu, olumsuz veya tarafsız bir
içeriğe sahip olup olmadığını inceler. Genel olarak fikirlerin, duyguların ve
metinlerin nesnelliğinin hesaplanma işlemi de denilebilir.



Bu çalışma da, Duygu Analizi hakkında araştırma
yapılmış olup Duygu Analizi sınıflandırma teknikleri incelenerek tüm alt
bileşenleri ile beraber anlatılmıştır. Duygu Analizi ile ilgili birçok güncel
makale incelenmiş ve kısaca anlatılmıştır. En son olarak genel bir
değerlendirme ve sonuç yazılarak çalışma bitirilmiştir.




Keywords

Duygu analizi duygu analizi algoritmalari duygu analizi uygulamalari fikir madenciliği

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There are 158 citations in total.

Details

Subjects Engineering
Journal Section Articles
Authors

Ümit Can

Bilal Alataş This is me

Publication Date June 24, 2017
Submission Date April 6, 2017
Acceptance Date June 13, 2017
Published in Issue Year 2017 Volume: 3 Issue: 1

Cite

APA Can, Ü., & Alataş, B. (2017). Review of Sentiment Analysis and Opinion Mining Algorithms. International Journal of Pure and Applied Sciences, 3(1), 75-111.
AMA Can Ü, Alataş B. Review of Sentiment Analysis and Opinion Mining Algorithms. International Journal of Pure and Applied Sciences. June 2017;3(1):75-111.
Chicago Can, Ümit, and Bilal Alataş. “Review of Sentiment Analysis and Opinion Mining Algorithms”. International Journal of Pure and Applied Sciences 3, no. 1 (June 2017): 75-111.
EndNote Can Ü, Alataş B (June 1, 2017) Review of Sentiment Analysis and Opinion Mining Algorithms. International Journal of Pure and Applied Sciences 3 1 75–111.
IEEE Ü. Can and B. Alataş, “Review of Sentiment Analysis and Opinion Mining Algorithms”, International Journal of Pure and Applied Sciences, vol. 3, no. 1, pp. 75–111, 2017.
ISNAD Can, Ümit - Alataş, Bilal. “Review of Sentiment Analysis and Opinion Mining Algorithms”. International Journal of Pure and Applied Sciences 3/1 (June 2017), 75-111.
JAMA Can Ü, Alataş B. Review of Sentiment Analysis and Opinion Mining Algorithms. International Journal of Pure and Applied Sciences. 2017;3:75–111.
MLA Can, Ümit and Bilal Alataş. “Review of Sentiment Analysis and Opinion Mining Algorithms”. International Journal of Pure and Applied Sciences, vol. 3, no. 1, 2017, pp. 75-111.
Vancouver Can Ü, Alataş B. Review of Sentiment Analysis and Opinion Mining Algorithms. International Journal of Pure and Applied Sciences. 2017;3(1):75-111.
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