A NOVEL APPROACH TO PREDICT THE PERSONALITY OF THE DOCTOR USING NATURAL LANGUAGE PROCESSING

Abstract: Doctors follow a definite procedure of collecting data of various symptoms or anomalies that a patient experiences in order to analyse the situation and treat the condition. More often than not the patient has vague memories of what and when these anomalies have occurred. We aim to make accurate records of these ailments along with when it occurred to help doctors better understand the circumstance in as little time as possible. With the help of machine learning to classify the client inputs into certain pre-recorded categories and the database functionalities to store and serve the data, the medic aid app is a user-friendly experience which is compatible across various platforms.

Keywords: Personality prediction, unsupervised learning, textblob, vader sentiment analysis