Optimizing Energy Efficiency of Wireless Sensor Network through Machine Learning Algorithms

Abstract

Machine learning is a big part of artificial intelligence. Artificial intelligence systems are broad and complex, and they're programmed to solve complicated problems the same way humans would. Machine Learning is an emerging technology that is rapidly increasing in popularity. It is currently being used in a variety of different industries and is popular among many different types of businesses. It’s a field of study where computer systems, software programs, virtual assistants, etc. become capable of automatically learning without explicitly programmed instructions. With Natural Language Processing (NLP), machines can read, understand, and interpret human language. With NLP, machines can perform speech recognition, sentiment analysis, and automatic summarization. NLP and text analytics use machine learning techniques to identify speech parts, entities, sentiment, and other elements of a text using statistical techniques. It is referred to as supervised machine learning when the techniques are expressed as models that are applied to other pieces of text. This paper reviews the concept of Machine Learning, its role in Natural Language Processing, as well as reviews the works in NLP.