Publication: DID: Auto censorship document
| dc.contributor.author | Nichaboon Rattanabunsakul | en_US |
| dc.contributor.author | Atcha Srisittichaikul | en_US |
| dc.contributor.author | Areeya Sriprasert | en_US |
| dc.contributor.author | Damras Wongsawang | en_US |
| dc.contributor.other | Mahidol University | en_US |
| dc.date.accessioned | 2018-12-21T07:17:49Z | |
| dc.date.accessioned | 2019-03-14T08:03:18Z | |
| dc.date.available | 2018-12-21T07:17:49Z | |
| dc.date.available | 2019-03-14T08:03:18Z | |
| dc.date.issued | 2017-10-19 | en_US |
| dc.description.abstract | © 2017 IEEE. Detection of Inappropriate Document (DID) is an automatic document censorship to censor for Thai inappropriate words and change the words to symbol star(*). DID program has been developed as an additional tool on Google Chrome and a website platform. The purpose of DID is to detect impolite words or contents on a document and social media. The program uses THSplitLib, PhpMyAdmin manages, HTML, CSS, Bootstrap, PHP, and Xampp for developing and managing process. Furthermore, inexact string matching is also implemented to detect impolite words which are intentionally misspell. From the experiments, the accuracy of DID in detection is more than 91 percents. However, there are some errors due to variety of word typing and meaning. | en_US |
| dc.identifier.citation | 6th ICT International Student Project Conference: Elevating Community Through ICT, ICT-ISPC 2017. Vol.2017-January, (2017), 1-4 | en_US |
| dc.identifier.doi | 10.1109/ICT-ISPC.2017.8075294 | en_US |
| dc.identifier.other | 2-s2.0-85043679952 | en_US |
| dc.identifier.uri | https://repository.li.mahidol.ac.th/handle/123456789/42263 | |
| dc.rights | Mahidol University | en_US |
| dc.rights.holder | SCOPUS | en_US |
| dc.source.uri | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85043679952&origin=inward | en_US |
| dc.subject | Computer Science | en_US |
| dc.subject | Engineering | en_US |
| dc.title | DID: Auto censorship document | en_US |
| dc.type | Conference Paper | en_US |
| dspace.entity.type | Publication | |
| mu.datasource.scopus | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85043679952&origin=inward | en_US |