Analysis and Implementation of Odia Part of Speech Tagger in recent IoT based devices through Chatbot: A review

Abstract

Part of speech tagging (POST) is a challenging and advance research work as well as a sub task of Natural Language Processing (NLP) which is the most essential and useful part in various task of NLP. Now a day’s research in Internet of Things (IoT) with Natural Language Processing is growing rapidly for the dedication of the society in terms of artificial intelligence and helping people to handle their hardware equipment very smoothly. This paper shows the every meaning of full text how it works in IoT based devices in terms of Chatbot with one of the functionality of Part of Speech Tagging. To simulate the text conversation by Chatbot with human users is an active process over the internet. Here text processing is deeply emphasized in terms of understanding point of view by the IoT based smart devices which are connected through internet and sensor. The role of POST is here the most important part which is helpful in text processing to support human users to simulate IoT based devices like fridge, fan and some electronics equipment. The functionality of Chatbot receives a text from the human being with the help of any natural language and process (translate the feelings of the inputted text) it, after that it understanding in a proper manner, then starts taking action and hit the target accordingly but all devices should be connected through either local area network or wide area network. Both training and test corpus is required for tagging to simulate Chatbot programming to communicate with IoT devices. Large number of tagged corpus gives more accuracy while testing the system once it is trained.