I’m completely new to HTM. I’ve been searching this forum and the web for an answer to this question, but I couldn’t find anything of help. The question is:
Can I do anomaly detection on natural language data like this:
- ip_1, comment_1
- ip_1, comment_2
- ip_2, comment_3
The comments are strings (natural language). I want to detect anomalous comments, for example advertisement, repeated comments (not necessarily exact match), etc.
Can HTM help me in solving such a problem? If so, is there any example for implementing it (or a problem similar to this?)
Thank you very much