Abstract:
Technological developments have radically changed how all players involved in
tourism create and ingest knowledge. Tourists will also browse multiple souices of
knowledge to generate their own information and share their insights and impressions
with them. Tourism data generated by social media has in many ways become a very
valuable source of information that impacts tourism. The amount of information
available on the internet has now reached a degree that makes it nearly difficult to
manage manual processing, demanding new theoretical approaches. Analysis of
sentiment is increasingly evolving in reviews as an automated method of analysing
semantic relationships and context. Our results indicate that the combined NB, SVM,
KNN and Decision Tree characteristics are favourable to improved outcomes
