A Machine Learning based Bot Detection Algorithm in Cosmetic Video Postings -- 2

Job ID: 34166620

Budget: $30 – $250 USD

Outline and Features:
1. A text analytics tool will be developed for social medial platforms that will classify a video post and human or bot
2. For testing purposes, tik-tok or other similar social medial platforms can be used.
3. The classification shall be based on multiple features that suit the task well
4. The outcome shall be a machine learning model, running on social medial platforms to automatically classify videos as being posted either by human or by bots

Must answer me in chat:
- what data set needed?
- must choose the only platform (TikTok, FB, or whatever)needed to collect the data because my supervisor scare no time to do, if I choose too many platforms
- Create a table list to show all data sets
- Try to determine the scope of what to accomplish, because she is worried that I will reach too far to complete. For example, when performing video analysis and analysis activities to detect whether the video is generated by a robot or a human, what inherent characteristics of the data must be listed, otherwise the scope is too large and is worried that it will be difficult for me to complete it.
- Another point is to try not to touch too many text features and comments in the post. Only focus on video/ post. For example Question:
1. Why is the text in a post different in size?
2. Does the position of the text in the post affect the viewing of the audience gate?
2. What impact a comment that is spam will have on a video post.