Hello Bitcointalk.
I just finished that damned grad degree and since I am not currently working have a lot of time on my hands which I want to use for projects.
So which do you think I should go with?
1. Move 'visualization of shilling' from a proof of concept using toy data to actual analysis of bitcointalk threads (uses sentiment analysis to show divergence of review sentiment).
2. Word cloud histories of a 'shills' which combine word clouds with sentiment to show patterns of shill over time (this one will be neat once finished).
3. Predicting if thread is from a forum holding signature campaigns or not based on various features such as post frequency, length, content, etc.
4. Go back to feature generation for ICO success prediction which I started but did not finish?
Any others??
Happy Thanksgiving! While I still deal with depression and mental health and unemployment shit I am so grateful to be alive with a loving family.
It's either that or another Kaggle contest.