TEXT ANALYTICS: SMS SPAM FILTERING CLASSIFICATION MODEL:- Objective of the Internship: The main objective of the project is to develop a Text Classification Model through R Studio Analytics Software package. The primary focus of the indigenously developed text classification model is to automatically analyze and categorize SMS containing SPAM/HAM which will in turn help the telecom service provider industry. With a lot of SMS coming into the system, manual checking and classifying SMS… Show more TEXT ANALYTICS: SMS SPAM FILTERING CLASSIFICATION MODEL:- Objective of the Internship: The main objective of the project is to develop a Text Classification Model through R Studio Analytics Software package. The primary focus of the indigenously developed text classification model is to automatically analyze and categorize SMS containing SPAM/HAM which will in turn help the telecom service provider industry. With a lot of SMS coming into the system, manual checking and classifying SMS is an impossible task. This model is very much helpful.  Background: Now days the customer is the king in the business world. For retaining exciting customer is more troublesome to acquire new customer.  Methodology Used: The SMS SPAM filtering classification model is done based on the primary customer SMS data provided by the company. PDCA (Plan, Do, Check & Act) rule has been followed to achieve successful completion of the tasks.  Findings:• After analyzing it is observed that the accuracy of the SPAM data 95%.  Recommendations:• It can be extensively used for the telecom service provider.• This model SMS SPAM filtering classification can be used extensively for the betterment of the telecom service.• This model can also restrict the fraudulent use of SMS. Show less