1.) Enhancing User Experience:
In today's digital world, online communication is widespread, and public platforms like social media, forums, and comment sections allow users to freely express their opinions. However, this often leads to an influx of inappropriate, offensive, or harmful comments
2.) Real-time Moderation:
Manual moderation of comments is time-consuming and often insufficient to handle the massive volume of content generated daily. Machine learning algorithms can be employed to detect and classify toxic comments in real-time
3.) Preventing Online Harassment:
Many people, especially minorities, are often targets of online harassment, which can lead to emotional distress, withdrawal from online communities, or even legal action.
abhisek247767
commented
45 minutes ago
1.) Enhancing User Experience: In today's digital world, online communication is widespread, and public platforms like social media, forums, and comment sections allow users to freely express their opinions. However, this often leads to an influx of inappropriate, offensive, or harmful comments
2.) Real-time Moderation: Manual moderation of comments is time-consuming and often insufficient to handle the massive volume of content generated daily. Machine learning algorithms can be employed to detect and classify toxic comments in real-time
3.) Preventing Online Harassment: Many people, especially minorities, are often targets of online harassment, which can lead to emotional distress, withdrawal from online communities, or even legal action.