Student chatroom with profanity filtering / Mohamad Muaaz Haikal Yahya, Fadilah Ezlina Shahbudin and Siti Nuramalina Johari
Amidst the challenges of the modern era, face a rapid growth of technological development especially among social media development. With the extensive usage of social media, a new problem arises in the society which is profanity. To address this imperative, the project titled "Student Chatroom...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
College of Computing, Informatics, and Mathematics
2024
|
| Subjects: | |
| Online Access: | https://ir.uitm.edu.my/id/eprint/105871/1/105871.pdf https://ir.uitm.edu.my/id/eprint/105871/ https://fskmjebat.uitm.edu.my/pcmj/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | Amidst the challenges of the modern era, face a rapid growth of technological development especially among social media development. With the extensive usage of social media, a new problem arises in the society which is profanity. To address this imperative, the project titled "Student Chatroom with Profanity Filtering" introduces a mobile chatroom application for students equipped with profanity filtering. The application’s core objective is to minimalize the usage of profanity among the students as well as providing an anonymous platform for students to convey their message. The usability of this game will also be taken into consideration as it will prove this project’s success. The filtering of this application achieved with the usage of Natural Language Processing (NLP) model, which aims to filter profanity usage in the project among the university students and implementing Waterfall methodology in the development process. Leveraging the System Usability Scale for testing, Student Chatroom with Profanity Filtering aspires to be a valuable tool in fostering a good behaviour that are needed in social interacting among the society. The results show a percentage of 61.67%. To improve the project, future work needed in enhancement for filtering for further effectiveness in profanity filtering. |
|---|