These days we all want machines to talk, and the only way a computer can talk is through Natural Language Processing (NLP).
A clear example of this is Alexa, a popular Amazon product. A query is passed to Alexa by voice, and it can respond by the same medium, that is, by voice. It can also be used to ask anything, search for anything, play songs or even book a taxi.
However, Alexa is not the only example, and these talking machines that are popularly known as chatbots can even manage complicated interactions and streamlined business-related processes using only NLP. In the past, chatbots were used only for customer interaction with limited conversational capabilities because they were generally based on rules, but after the emergence of Natural Language Processing and its integration with Machine Learning and Deep Learning, now the chatbot can handle many different areas, such as Human Resources, health among others.
-NLP in health care: in this case we will be able to make a prediction of different diseases by using pattern recognition methods and the patient’s speech and their electronic health record. An example of this is Amazon Comprehend Medical.
-Feeling Analysis using NLP: The sentiment analysis is very relevant, since it has the ability to offer a wealth of knowledge about the behavior of the client and their choices, which can be considered an important decision factor.
-Cognitive Analytics and NLP: Using NLP, conversational frames have the ability to take commands by voice or by text. By using cognitive analysis, it is possible to automate different technical processes, such as the generation of a technical ticket related to a technical problem and also its handling in an automated or semi-automated way.
The collaboration of these techniques results in an automated process of handling technical problems within a company. It can also provide the solution of some technical problems to the customer also in an automated way.
-Spam detection: known to Google and Yahoo areuse NLP to classify and filter emails suspected of being spam. This process is known as Spam Detection and Filtering. This results in an automated process that can classify email as spam and stop it from entering the Inbox.
-NLP in Recruitment: NLP is also used in both the search and selection phases of the job recruitment, even, the chatbot can also be used to handle the job-related query at the initial level. This also includes identifying the skills required for a specific job and handling entry-level tests and exams.
Conversational Marcus: The NLP and related devices that are gaining huge popularity these days. Alexa is one of them, also Apple’s Siri and Google’s Ok Google, which are examples of the same kind of technology use cases.
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