Automatic discovery of abusive thai language usages in social networks
© 2017, Springer International Publishing AG. Social networks have become a standard means of communication that allows a massive amount of users to interact and consume information anywhere and anytime. In Thailand, millions of users have access to social networks, a majority of which include young...
Saved in:
Main Authors: | Suppawong Tuarob, Jarernsri L. Mitrpanont |
---|---|
Other Authors: | Mahidol University |
Format: | Conference or Workshop Item |
Published: |
2018
|
Subjects: | |
Online Access: | https://repository.li.mahidol.ac.th/handle/123456789/42341 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Mahidol University |
Similar Items
-
Automated discovery of product preferences in ubiquitous social media data: A Case study of automobile market
by: Suppawong Tuarob, et al.
Published: (2018) -
FALCoN: Detecting and classifying abusive language in social networks using context features and unlabeled data
by: Tuarob S.
Published: (2023) -
Automated Discovery of Product Feature Inferences Within Large-Scale Implicit Social Media Data
by: Suppawong Tuarob, et al.
Published: (2019) -
Thai handwritten character recognition using heuristic rules hybrid with neural network
by: Jarernsri L. Mitrpanont, et al.
Published: (2018) -
Beyond the tweets: Discovering factors that influence TV series preferences from ubiquitous social networks
by: Tipajin Thaipisutikul, et al.
Published: (2018)