Comparative Study on NLP Processes for Strategic Marketing
Abstract
The process of Natural Language processing (NLP) techniques has been the major area of research aiming to enhance the digital marketing platform. The sentimental analysis (SA) methodology has been used to continuously learn the responses of the customers towards a certain product or category in the online marketing platforms. The paper is focused on learning customer’s review collected from the data base of Amazon’s product category Beauty and grooming. The work compares the performance of two algorithms mainly Naïve Bayes classifier and Multi class Support vector machine (MC_SVM)for negative, neutral and positive outcomes.