I m new in text analysis and need your advice to help medical students to write properly and correctly. The students describe sicknesses as they observe them; however, they must use an "official sickness description". I have the data collected from the students and the correct data. Let me explain:
I have a csv table1 containing 300K rows / one column : each row is the description of health condition written by students ( they can be redundant).
I have an other table2 containing almost 200K rows and 3 columns Column 1: the official name of the condition ( the correct one the student should use) Column 2: a code ( number) Column 3: the translation of "the official name of the condition" in another language.
The idea is to start from table1 and match each row with N official names (with their codes and translation). Let's say 5 official names ranked by distance computation.
I am confused: Should I go for a recommendation engine or a search/rank algorithms?
What are the steps you can identify to accomplish this task?
PS: the final output might be an API where student start to write the description of the sickness and obtain a list of choices/recommendations where they can pick one. I hope I was clear ! Thanks