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MULTILINGUAL PROFANITY DETECTION API USING DEEP LEARNING By LIM Day Erna REPORT SUBMITTED TO University Tank Abdul Rahman in partial fulfillment of the requirements for the degree of BACHELOR OF COMPUTER
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How to fill out method of profanity detection

01
Create a list of profane words or phrases that you want to detect.
02
Tokenize the input text to break it down into individual words or phrases.
03
Compare each tokenized word or phrase against the list of profane words.
04
Implement a scoring system to determine the severity of the profanity detected.
05
Consider context and language variations to improve accuracy.
06
Provide an output indicating the presence of profanity and the severity level.

Who needs method of profanity detection?

01
Content moderation platforms
02
Social media platforms
03
Online forums and communities
04
Educational institutions
05
Parental control software developers
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Method of profanity detection involves using algorithms and keyword analysis to identify and filter out inappropriate language or content.
Platforms or websites that allow user-generated content are typically required to implement and file a method of profanity detection.
Method of profanity detection can be filled out by outlining the specific algorithms, filters, and processes used to detect and manage inappropriate language on a platform.
The purpose of method of profanity detection is to create a safer and more respectful online environment by preventing the spread of offensive language.
The method of profanity detection report should include details on the technology or strategies used, any updates or improvements made, and the effectiveness of the system.
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