A Novel Aspect Based Framework for Tourism Sector with Improvised Aspect and Opinion Mining Algorithm-Reference-Cited by-同舟云学术

A Novel Aspect Based Framework for Tourism Sector with Improvised Aspect and Opinion Mining Algorithm

Published:2022-06-10 Issue: Volume: Page:314-328
ISSN:
Container-title:Research Anthology on Implementing Sentiment Analysis Across Multiple Disciplines
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Author:

Bhatnagar Vishal¹,Goyal Mahima²,Hussain Mohammad Anayat²

Affiliation:

1. Department of Computer Science and Engineering, Ambedkar Institute of Advanced Communication Technologies and Research, New Delhi, India

2. Ambedkar Institute of Advanced Communication Technologies and Research, New Delhi, India

Abstract

With the growth of e-commerce web sites, the demand of writing reviews on these portals have gained huge popularity. This huge data must be mined to analyze the opinion and for making better decisions in different domains. In this paper, we have proposed an aspect based opinion mining algorithm for the tourism domain. It first determines the aspects, and then extracts the opinion words related to the aspects. The opinion words are provided a score based on the Senti-Wordnet and the final score of each aspect is calculated by the summation of the scores of the opinions. The final score is visualized depicting ranking of scores of different aspects for different hotels.

Publisher

IGI Global

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