To detect and analyze anomalies in queries posted by students worldwide on academic web-based platforms and segregate unwanted elements (if any) from their questions that are not required or associated with the context directly, in order to render a clear visibility to the ones in charge of answering the queries.

Project Category

Natural Language Programing, Media

Achievement

The text classification is making it convenient for academics to address online student queries without having to stumble upon irrelevant elements that become hindrances in effectively understanding the question, the context and the intent of the student posting it.