Tourism recommendation system based on semantic clustering and sentiment analysis

Z Abbasi-Moud, H Vahdat-Nejad, J Sadri - Expert Systems with Applications, 2021 - Elsevier
Numerous number of tourism attractions along with a huge amount of information about
them on web and social platforms have made the decision-making process for selecting and …

[PDF][PDF] Tourism Recommendation System Based on Semantic Clustering and Sentiment Analysis

Z Abbasi-Mouda, H Vahdat-Nejada, J Sadrib - researchgate.net
Numerous number of tourism attractions along with a huge amount of information about
them on web and social platforms have made the decisionmaking process for selecting and …

[PDF][PDF] Tourism Recommendation System Based on Semantic Clustering and Sentiment Analysis

Z Abbasi-Mouda, H Vahdat-Nejada, J Sadrib - nscpolteksby.ac.id
Numerous number of tourism attractions along with a huge amount of information about
them on web and social platforms have made the decisionmaking process for selecting and …

Tourism recommendation system based on semantic clustering and sentiment analysis

Z Abbasi-Moud, H Vahdat-Nejad, J Sadri - 2021 - dl.acm.org
Numerous number of tourism attractions along with a huge amount of information about
them on web and social platforms have made the decision-making process for selecting and …

[PDF][PDF] Tourism Recommendation System Based on Semantic Clustering and Sentiment Analysis

Z Abbasi-Mouda, H Vahdat-Nejada, J Sadrib - academia.edu
Numerous number of tourism attractions along with a huge amount of information about
them on web and social platforms have made the decisionmaking process for selecting and …

[PDF][PDF] Tourism Recommendation System Based on Semantic Clustering and Sentiment Analysis

Z Abbasi-Mouda, H Vahdat-Nejada, J Sadrib - perlab.birjand.ac.ir
Numerous number of tourism attractions along with a huge amount of information about
them on web and social platforms have made the decisionmaking process for selecting and …