| Issue |
MATEC Web Conf.
Volume 75, 2016
2016 International Conference on Measurement Instrumentation and Electronics (ICMIE 2016)
|
|
|---|---|---|
| Article Number | 03002 | |
| Number of page(s) | 4 | |
| Section | Signal Processing and Pattern Recognition | |
| DOI | https://doi.org/10.1051/matecconf/20167503002 | |
| Published online | 01 September 2016 | |
Multi-Language Sentiment Analysis for Hotel Reviews
Faculty of Information Technology, King Mongkut’s University of Technology North Bangkok, Thailand
a Corresponding author: msn@kmutnb.ac.th.
Touristes and traveler use avariety of information sources (e.g. travelportals, blogs, or social networking sites like twitter) to help them decide for a hotel room. These sources all contain highly subjective text that expresses the opinions of many. We took a preliminary view on user generated hotel reviews from two travel portals in English and Thai. We developed a taxonomy of features and specifically investigated how accurately they can be predicted with three classification methods. The results indicate that support vector machines perform best for this specific domain.
© The Authors, published by EDP Sciences, 2016
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.