A graph-based approach to topic clustering of tourist attraction reviews
© Springer Nature Switzerland AG 2019. A large volume of user reviews on tourist attractions can prohibit travel businesses from acquiring overall consumers’ expectations and consumers themselves from seeing the big picture and making thoughtful decisions on trip planning. Summarization of the revie...
Saved in:
Main Authors: | Nuttha Sirilertworakul, Boonsit Yimwadsana |
---|---|
Other Authors: | Mahidol University |
Format: | Conference or Workshop Item |
Published: |
2020
|
Subjects: | |
Online Access: | https://repository.li.mahidol.ac.th/handle/123456789/50670 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Performance Analysis of an AoA-based Wi-Fi Indoor Positioning System
by: Boonsit Yimwadsana, et al.
Published: (2020) -
An indoor navigation system for the visually impaired based on RSS lateration and RF fingerprint
by: Lalita Narupiyakul, et al.
Published: (2019) -
Cultural digital map prototype of tourist attractions in NirasSuphan written by SunthonPhu, poet of Thailand
by: Watcharee Phetwong, et al.
Published: (2018) -
Entropy-based graph clustering - a simulated annealing approach
by: Oggier, Frédérique, et al.
Published: (2019) -
Utilizing Google Translated Reviews from Google Maps in Sentiment Analysis for Phuket Tourist Attractions
by: Boonyanit Mathayomchan, et al.
Published: (2020)