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Research Article · Open access · Published 15 November 2018

RHALSA: Ranking Hotels using Aspect Level Sentiment Analysis

Nibedita Panigrahi1 & Asha T1

Journal of Computer Science, Volume 14, Issue 11, pp. 1512–1520 · doi.org/10.3844/jcssp.2018.1512.1520

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Abstract

Opinion play a vital role which impacts the business in large extent. Users by-and-large depend on the reviews of others to avail the services. Online hotel bookings are becoming popular because of mobile applications being used on smart phones for placing the bookings from far away in advance along with the access to their reviews on different aspects. In this work, we present a data mining algorithm to rank the hotels based on the reviews provided by the users using aspect level sentiment analysis. The proposed Ranking Hotels using Aspect Level Sentiment Analysis (RHALSA) algorithm is evaluated conducting experiments on Tripadvisor data set to demonstrate its adequacy.

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Panigrahi, N. & T, A. (2018). RHALSA: Ranking Hotels using Aspect Level Sentiment Analysis. Journal of Computer Science, 14(11), 1512–1520. https://doi.org/10.3844/jcssp.2018.1512.1520

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RHALSA: Ranking Hotels using Aspect Level Sentiment AnalysisJournal of Computer Science · Volume 14, Issue 11 · pp. 1512–1520 · CC BY 3.0Download