Context aware model for sentiment analysis in tourism

Cvetko Andreeski; Adem Asani

doi:10.71159/icemit2506A

Authors

Cvetko Andreeski University St. Kliment Ohridski Bitola, Faculty of Tourism and Hospitality Ohrid, N. Macedonia
Adem Asani University St. Kliment Ohridski Bitola, Faculty of Tourism and Hospitality Ohrid, N. Macedonia

DOI:

https://doi.org/10.71159/icemit2506A

Keywords:

sentiment, analysis, context, model, review

Abstract

The latest methods for natural language analysis allow for contextual analysis of the text and examination of the type of emotions that can be detected. Emotions such as anger, joy, sadness, optimism can show us which emotions prevailed among visitors during their stay in a certain destination. These emotions, through the written reviews, can influence future potential tourists who plan to visit the same destination. In this paper, a combined sentiment analysis of reviews taken from online travel agencies was performed, analyzing the polarity of the sentences, but additionally analyzing the emotions in their context, while also monitoring their change over time. More than 2000 reviews from visitors who visited the same destination and were accommodated in different accommodation facilities were analyzed

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