DUYGU ANALİZİ VE FİKİR MADENCİLİĞİ UYGULAMALARI ÜZERİNE LİTERATÜR TARAMASI

Hatice Elif Ekim; A. Burak İnner

doi:10.17780/ksujes.819367

TR EN

DUYGU ANALİZİ VE FİKİR MADENCİLİĞİ UYGULAMALARI ÜZERİNE LİTERATÜR TARAMASI

Öz

Duygu analizi ve fikir madenciliği, kişilerin, bir konu, grup, ürün, marka veya durum ile ilgili görüşlerini belirttiği metinleri, doğal dil işleme, yapay zeka veya istatistik alanlarından uygulamalar yardımıyla analiz ederek anlamlandırma çalışmalarıdır. Son yıllarda, sosyal medya ve kullanıcıların fikir paylaştığı diğer platformların kullanımının artmasıyla saatte terabaytlar seviyesine ulaşan veri miktarı, duygu analizi ve fikir madenciliği konularına verilen önemi artırmıştır. Bu çalışma kapsamında, duygu analizinde makine öğrenimi yaklaşımları, sözlük tabanlı yaklaşımlar ve hibrit yaklaşım üzerine güncel makaleler incelenerek, makaleler ile ilgili literatür çalışması araştırmacılara sunulmuştur. İncelenen makalelerden, makalenin yayınlanma tarihi, araştırma problemi, yaklaşım, önişleme ve öznitelik seçme metotları, sınıflandırma algoritması, model başarı ölçütü, başarı oranı en yüksek algoritma ve başarı oranı, veri kaynağı bilgilerinin yer aldığı bir tablo oluşturulmuştur. Makine öğrenimi tabanlı yöntemlerin sıklıkla tercih edilmesi ve çalışma sayısının diğer yöntemlerden fazla olması sebebiyle, denetimli, denetimsiz, yarı denetimli ve derin öğrenme başlıkları altında ayrı ayrı ele alınmıştır. Çalışma sonucunda, incelenen makaleler ışığında genel bir değerlendirme ile sonuç çıkarılarak çalışma tamamlanmıştır.

Anahtar Kelimeler

LITERATURE REVIEW ON SENTIMENT ANALYSIS AND OPINION MINING APPLICATIONS

Abstract

Sentiment analysis and opinion mining are the studies of interpretation by analyzing texts in which people express their opinions about a subject, group, product, brand, or situation with applications with natural language processing, artificial intelligence, or statistics. In recent years, with the increase in the use of social media and other platforms where users share ideas, the amount of data reaching the level of terabytes per hour has increased the importance given to sentiment analysis and opinion mining. Within the scope of this study, a literature review on current articles and articles on machine learning approaches, lexicon-based approaches, and hybrid approach in sentiment analysis is presented to the researchers. From the articles examined, a table containing the publication date of the article, research problem, approach, preprocessing and feature selection methods, classification algorithm, model success criterion, an algorithm with the highest success rate and success rate, data source information was created. Since machine learning-based methods are frequently preferred and the number of studies is higher than other methods, they are discussed separately under the titles of supervised, unsupervised, semi-supervised, and deep learning. At the end of the study, the study was completed by making a general evaluation in light of the articles examined.

Keywords

References

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Details

Primary Language

Turkish

Subjects

Computer Software

Journal Section

Review

Authors

Hatice Elif Ekim ^*
0000-0001-6623-5847
Türkiye

A. Burak İnner
0000-0003-0933-654X
Türkiye

Publication Date

June 2, 2021

Submission Date

November 1, 2020

Acceptance Date

March 1, 2021

Published in Issue

Year 2021 Volume: 24 Number: 2

DOI

https://doi.org/10.17780/ksujes.819367

IZ

https://izlik.org/JA49TA82KJ

Cite

RIS / Bibtex

APA

Ekim, H. E., & İnner, A. B. (2021). DUYGU ANALİZİ VE FİKİR MADENCİLİĞİ UYGULAMALARI ÜZERİNE LİTERATÜR TARAMASI. Kahramanmaraş Sütçü İmam Üniversitesi Mühendislik Bilimleri Dergisi, 24(2), 93-114. https://doi.org/10.17780/ksujes.819367

Cited By

Sosyal Medyadaki Hadis Karşıtı Söylemlerin Duygu Analizi ile İncelenmesi

Usul İslam Araştırmaları

https://doi.org/10.56361/usul.1750919