A Review of Unsupervised Approaches of Opinion Target Extraction from Unstructured Reviews

Khairullah Khan,Aurangzeb Khan,Baharum Baharudin

doi:10.19026/rjaset.7.543

Abstract

Opinion targets identification is an important task of the opinion mining problem. Several approaches have been employed for this task, which can be broadly divided into two major categories: supervised and unsupervised. The supervised approaches require training data, which need manual work and are mostly domain dependent. The unsupervised technique is most popularly used due to its two main advantages: domain independent and no need for training data. This study presents a review of the state of the art unsupervised approaches for opinion target identification due to its potential applications in opinion mining from web documents. This study compares the existing approaches that might be helpful in the future research work of opinion mining and features extraction.

Highlights

What other people think is naturally important for human guidance
This study provides a review of existing unsupervised approaches which has been popularly employed for opinion targets extraction within the past few years
Unsupervised approaches for opinion targets identification: The unsupervised techniques has been popularly used for opinion target identification (BenDavid et al, 2007; Blitzer et al, 2007; Bloom et al, 2007; Carenini et al, 2005; Ferreira et al, 2008; Holzinger et al, 2006; Hu and Liu, 2004; Popescu et al, 2005; Wei et al, 2010; Wong and Lam, 2009; Yi et al, 2003; Zhai et al, 2011)

Summary

Introduction

What other people think is naturally important for human guidance. Humans can flux together diverse approaches, experiences, wisdom and knowledge of people for decision making. Humans like to take part in discussions and present their points of view. People often ask their friends, family members and field experts for information during the decision making process. They use opinions to express their points of view based on experience, observation, concept, beliefs and perceptions. The point of view about something can either be positive (shows goodness) or negative (shows badness), which is called the polarity of the opinion (Aurangzeb et al, 2011b; Baharum and Khairullah, 2011)

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