Usefulness of NLP

Our social interaction would be nothing without language or communication. Whether we have to convey a written message or a verbal, express our feelings or emotions or even share information, we require a language that anyone can understand. Now, even computers are trained in a way that they can recognize the tone or translate a foreign language for us in a quick and efficient way. A technology and a subcategory of Artificial Intelligence (AI) known as the Natural Language Processing (NLP) allows computer systems to interpret and understand information or all the essential elements of a conversation just like we do. The NLP technology is used in several fields and provides fast and efficient customer service while cutting down cost. Let’s look at its usefulness in terms of data science.

1. Forecasting the spread of disease

NLP technology has served the healthcare sector by detecting illnesses and anticipating the spread of impending diseases. By decoding the speech patterns, it gives a clear knowledge to medical practitioners regarding illness related progression (e.g. post-traumatic stress disorder or depression etc.). This helps doctors to better understand their patients and their predicament.

2. E commerce

Competition is rising in e-commerce and companies must ponder over creative solutions to deal with the inefficiencies that occur while tending to their customers. They can use sentiment analysis tools to look for products that best satisfy their customer. Moreover, through the help of NLP they can go through the internet data to check their platform's performance. They can offer hyper personalized communication to their customers on the basis of social media listening.

3. Language translators

You can translate the online text in different languages and all this is not possible without the NLP tool. One example is Google translator that translates and converts pages into any language, eliminating the language barrier and offering cross cultural communication. One interesting thing to note is that, more than 100 billion words are translated into a number of different languages.

Natural Language Processing has spread out in almost every field we talk about. It provides users with accurate and comprehensive information, while also saving their time. Businesses are all set to invest in this technology so that they can keep their customers happy and increase their revenues. By incorporating this unique form of human and machine interaction in their systems and operations some of them have already enhanced their productivity.