loading
Papers

Research.Publish.Connect.

Paper

Authors: Gianpierre Zapata 1 ; Javier Murga 1 ; Carlos Raymundo 1 ; Jose Alvarez 2 and Francisco Dominguez 3

Affiliations: 1 Universidad Peruana de Ciencias Aplicadas (UPC), Peru ; 2 Universidad Carlos III, Spain ; 3 Universidad Rey Juan Carlos

ISBN: 978-989-758-273-8

Keyword(s): Sentiment Analysis, Big Data, Cloud Computing, Travel Management Process, Tourism Sector.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Intelligent Information Systems ; Knowledge Management and Information Sharing ; Knowledge-Based Systems ; Symbolic Systems ; Tools and Technology for Knowledge Management

Abstract: In the sustainable tourist sector today, there is a wide margin of loss in small and medium-sized enterprise (SMEs) because of a poor control in logistical expenses. In other words, acquired goods are note being sold, a scenario which is very common in tourism SMEs. These SMEs buy a number of travel packages to big companies and because of the lack of demand of said packages, they expire and they become an expense, not the investment it was meant to be. To solve this problem, we propose a Predictive model based on sentiment analysis of a social networks that will help the sales decision making. Once the data of the social network is analyzed, we also propose a prediction model of tourist destinations, using this information as data source it will be able to predict the tourist interest. In addition, a case study was applied to a real Peruvian tourist enterprise showing their data before and after using the proposed model in order to validate the feasibility of proposed model.

PDF ImageFull Text

Download
CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 35.175.191.168

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Zapata, G.; Murga, J.; Raymundo, C.; Alvarez, J. and Dominguez, F. (2017). Predictive Model based on Sentiment Analysis for Peruvian SMEs in the Sustainable Tourist Sector.In Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 3: KMIS, ISBN 978-989-758-273-8, pages 232-240. DOI: 10.5220/0006583302320240

@conference{kmis17,
author={Gianpierre Zapata. and Javier Murga. and Carlos Raymundo. and Jose Alvarez. and Francisco Dominguez.},
title={Predictive Model based on Sentiment Analysis for Peruvian SMEs in the Sustainable Tourist Sector},
booktitle={Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 3: KMIS,},
year={2017},
pages={232-240},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006583302320240},
isbn={978-989-758-273-8},
}

TY - CONF

JO - Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 3: KMIS,
TI - Predictive Model based on Sentiment Analysis for Peruvian SMEs in the Sustainable Tourist Sector
SN - 978-989-758-273-8
AU - Zapata, G.
AU - Murga, J.
AU - Raymundo, C.
AU - Alvarez, J.
AU - Dominguez, F.
PY - 2017
SP - 232
EP - 240
DO - 10.5220/0006583302320240

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.