Natural Language Processing

                                             NLP in Digital Marketing

What is NLP?

Natural language processing or NLP is a sub ordinate of computational linguistics and machine learning. It connects computer data with human language. This technology interprets human language, text, voice, emotions into computer programmatic for making the work of computer easy to provide better results to the user.

It has various fields to coordinate with the user like voice recognition, semantic search, sentiment analysis, optical Character recognition etc.

Impact of NLP on digital marketing

The retail industry is undergoing tumultuous changes with the stream of technology. In the previous few decades, the inclination of digital marketing hick unto its pick. This is because people are increasingly involving into technical devices for their needs. Hence digital marketing and NLP shares the same stage in the current situation.


Both performs the task of understanding customers needs and their choices for better promotion and marketing of your product and services. There is a colossal amount of data input every second which is really difficult. But the arrival of NLP makes it easy for the computer to interpret this data and represents it in such a way that the user communicates with the programmer seemingly. Language interpretation helps to connect you with a huge number of audience and able to represent your products to them. Global marketing report says that the sales increased by 300% by using machine learning and a major part of it contributed by natural language processing.
Elements of NLP


Natural language processing is a branch of Artificial intelligence and machine learning and composite a vast range of factors in it.

1.Optical character recognition: This in objective NLP that interprets text or images into computer language. The computer read the data and accumulate the related information and serve it to the customer. It is the tool that can edit and bring changes to the original format. Pdf converter is one of the good examples of it.

2.Voice recognition: This is the tool for interpretation of user’s language and speech. Computer or your device interprets your voice to its programming data and give an output to you according to your asked questions. Echo or Google Voice are the perfect examples.

3.Sentiment Analysis: It one of the brilliant findings of this century. By this tool you not only came across that what your customers tell about your products even you can know how they feel about your product. Eventually you can find positive, negative and neutral comments.

4.Semantic Search: Semantic search is pretty much like voice search but in a more regular and mannered way. It uses apps and software instead of staggering websites. Siri and Cortana are the great example.

5. Affective Computing and Programming: NLP allows computer to understand the information provided as the input by the customer, then it processes the data and the convert it into a statistical analysis.

In the current generation NLP leads the technical and also guide the marketing world with it as a stepping stone. Catbots, Google Voice, Siri, Google translate are the most popular Natural language processing units.

 

 

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