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Journals / Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi / 2016 / Cilt: 22 - Sayı: 2

A review of literature on the use of machine learning methods for opinion mining

Makine öğrenmesi yöntemlerinin görüş madenciliğinde kullanılması üzerine bir literatür araştırması

Aytuğ ONAN
Serdar KORUKOĞLU
Pages
111–122
Publication Date
2016-05-01
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Besides, the weak and strong characteristics of machine learning methods have been discussed.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Opinion mining is an emerging field which uses methods of natural language processing, text mining and computational linguistics to extract subjective information of opinion holders.
📊
Key Findings & Data:Opinion mining can be viewed as a classification problem.
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Conclusion & Impact:Besides, the weak and strong characteristics of machine learning methods have been discussed.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Görüş madenciliği · Makine öğrenmesi · Duygu analizi

Abstract

Opinion mining is an emerging field which uses methods of natural language processing, text mining and computational linguistics to extract subjective information of opinion holders. Opinion mining can be viewed as a classification problem. Hence, machine learning based methods are widely employed for sentiment classification. Machine learning based methods in opinion mining can be mainly classified as supervised, semi-supervised and unsupervised methods. In this study, main existing literature on the use of machine learning methods for opinion mining has been presented. Besides, the weak and strong characteristics of machine learning methods have been discussed.

Özet

Görüş madenciliği, görüş sahibinin tutum, davranış, duygu gibi öznel bilgilerinin çıkarılması için doğal dil işleme, metin madenciliği, hesaplamalı dilbilim gibi bilim alanlarının tekniklerini kullanan güncel bir araştırma alanıdır. Görüş madenciliği işleminin temel olarak bir sınıflandırma problemi olarak ele alınması mümkündür. Bu nedenle, makine öğrenmesine dayalı yöntemler sıklıkla görüş sınıflandırma amacıyla uygulanmaktadır. Görüş madenciliğinde makine öğrenmesine dayalı yöntemler temel olarak, öğreticili, yarı-öğreticili ve öğreticisiz yöntemler olmak üzere üç temel sınıf altında incelenmektedir. Bu çalışma kapsamında, görüş madenciliği alanında gerçekleştirilen temel makine öğrenmesine dayalı çalışmalar ve her bir makine öğrenmesi yönteminin güçlü ve zayıf yönleri ele alınmaktadır.

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Cite This Article

ONAN, A., KORUKOĞLU, S. (2016). A review of literature on the use of machine learning methods for opinion mining. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi, Cilt: 22 - Sayı: 2, 111–122. https://ajindex.com/articles/108892

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References (14)

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