@article {10.3844/jcssp.2018.1512.1520,
article_type = {journal},
title = {RHALSA: Ranking Hotels using Aspect Level Sentiment Analysis},
author = {Panigrahi, Nibedita and T, Asha},
volume = {14},
number = {11},
year = {2018},
month = {Nov},
pages = {1512-1520},
doi = {10.3844/jcssp.2018.1512.1520},
url = {https://thescipub.com/abstract/jcssp.2018.1512.1520},
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.},
journal = {Journal of Computer Science},
publisher = {Science Publications}
}