Abstract:
Reviews about tourism products in online environments are an important data source for tourism
businesses, destination managements and tourists. Tourist reviews online are completely unbiased
reviews created voluntarily by tourists. Therefore, important feedback is provided for tourism
businesses and destinations in the evaluation of tourism products. Collecting and analyzing tourist
comments and transforming them into strategic information will create an important competitive
power. Sentiment analysis, which is a sub-field of text mining, is a field of study that analyzes
people's ideas and thoughts about tourism products and services from text-based comments.
Sentiment analysis can be applied at the document level, sentence level and aspect-based sentiment
levels. In this chapter, sentiment analysis methods are examined by using data collected from
online platforms where tourism products are evaluated. Analyzing online tourist reviews using text
mining methods will provide important opportunities for stakeholders in the tourism sector. These
opportunities can be explained in terms of destination managements, tourism businesses and
tourists. Understanding and interpreting the destination for destination management will thus
provide opportunities for the creation of the brand value and image of the destination. It will also
make an important contribution to the determination of tourist needs in the destination and
meeting these needs. In terms of tourism businesses, evaluating the products and services they
offer to tourists will create an opportunity to manage customer relations by discovering the
negative and positive aspects. In addition, tourism businesses will have the opportunity to develop
or improve their products and services in order to gain product and price advantage by evaluating
their competitors. Tourists will be able to use it to make better travel plans
