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Automatically Generating Aspect Taxonomy for E-Commerce Domains to Assist Sentiment Mining

  • Nachiappan Chockalingam
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 733)

Abstract

Numerous reviews are available online for many domains, and increasingly even for singular products. In this scenario, aspect associations to domains can be made extensive. Instead of generating aspects from the training set of reviews for a domain, the task of aspect generation is pushed onto an automated taxonomy generation system. Based on certain user input parameters, the taxonomy is expanded using an unsupervised web crawl of E-Commerce Website(s). The aspect taxonomy can be used to assist researchers in annotation of reviews to use for training classifiers for sentiment analysis, and for visualization of sentiment analysis results.

Keywords

Sentiment mining Dataset Aspect Dependency parsing Taxonomy 

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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Department of Computer Science and EngineeringCollege of Engineering, GuindyChennaiIndia

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