What is the relation between NLP, Sentiment Analysis and ML?

Though, it is quite difficult to find the true relation between sentiment analysis, natural language processing and machine learning as all they are different from each other in terms of their use and processing at different places.

However, there is one thing common between them that they work on the principles of Artificial Intelligence based technology to respond or work automatically without too much human intervention. So, to make it more strong and precise let’s find out what is the technical relation between sentiment analysis, machine learning and natural language processing.

What is Machine Learning?

Machine learning is an area of computer science that allows computer systems a unique ability to learn with data without reprogramming and respond accordingly. Machine learning is a kind of self-learning process that when exposed to new data or computer programs it learns, grow, change and develop themselves without human intervention.  

  

What is Natural Language Processing (NLP)?

Natural language processing is also an area of computer science works through AI based computational linguistics processing system to analyze the written language. It is a processing of computational linguistics concerned with the human’s natural language and between computers to fruitfully process the large language without losing the essence of speech. NLP mainly rely on machine learning to automatically learn the rules by analyzing a set of examples and making a strategic inference.   

What is Sentiment Analysis?

Sentiment analysis is a kind of opinion mining of customers, users and audience through social media and other online platforms towards a particular product, services, brand and companies. Sentiment analysis is a kind of measurement of positive and negative languages and it helps you to see what customers like and dislike about you, your brand and your company. Sentiment Analysis helps to investigate the feelings prevail about a certain things and reviewing your customer’s feedback on your business regularly.    

Natural Language processing is superset of sentiment analysis that means there are more categories of problems that comes into various classes. The sentiment analysis is an application for extracting the sentiments from certain amount of texts. While Machine learning may not be used in NLP sentiment analysis but if ML is used correctly, if can help you to boost the performance of NLP systems or sentiment analysis software used for such things.      

NLP is an applied field of machine learning and artificial neural network are being used in NLP very frequently. While on the other hand, sentiment analysis is a task of NLP where your system need to test the sentiments of texts that based on ML training dataset. All these technologies of different fields of methods are related with each other in different terms but playing an important role in applying their algorithms to make the human work easier and more automated.

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