INDUSTRIES DRIVEN BY NLP TECHNIQUES

Natural Language Processing is the study of human language and part of AI. It has been developed more and more in recent years with the integration of ML. Use of technology has been increased more and more in current industrial revolution and also it has been forecasted that the 4th industrial revolution will be driven by latest technology(in World Economic Forum). Technologies has taken the major role in industrial development. The main source of income & development for industries are people, and it has become very important for industry to understand the choice of the human and their requirements. Today’s world majority of population is digitally connected. Industries have wider scope to understand the people with digital information; but the digital information created by people is very complex and hard to understand by the computers. To solve this complexity it is a necessity for technology and industry to understand the natural language and process accordingly. To understand the natural language complexity many algorithms have been developed also with the help of Machine learning the NLP process has become more clear and understandable. In our research paper we have tried to understand the NLP process and the application used in industries based on NLP. We have created 2 test applications based on NLP for demonstration. 1st Chatbot based on API.AI and 2nd Tweet Sentiment Analysis based on Naive Bayes Classifier. Tools & Languages used for test & development – Android Studio, Java, API.AI, Twitter API, Python3.5, Tweepy, textblob, & pygal modules.