Trying to solve a use case with text analytics. I have data exported from a ticketing system which has a category, type of ticket, title & problem description. I have to visualize the problem types, for example ( new employee registration, password reset). If I implement algorithms using data science, my assumption is to extra the ticket descriptions with a set of keywords and finally come to a conclusion that there are 30% of password request came through.
What are the best set of algorithms can I use which can precisely help me predict my use case in Machine Learning? I am a newbie here, please let me know if I am missing any info. Thanks in advance.