Into : NLP Natural Language Programing...

What’s NLP ....?

NLP (Natural Language Programming) is a branch of Artificial Intelligence (AI) that studies how machines process understand human language containing textual data.

NLP can be referred as more engineer based or empirical approach of the statistical methods. It maps the given input data or the text into a numerical representation on which different Machine Learning Algorithms can be applied.

It is a way in which computers now a days can understand the language other than binary language i.e. 0's and 1's.

Use cases of NLP …

• Banking And Security: Document Searching for important data points and clauses for legal documents, Trading & its strategies, Investment decisions, Customers behavior, chatbots for the customer needs are all examples where the NLP has played a key role in developing such applications. It can extract the entities from the call conversations in order to detect the money laundering or fraud.

• Healthcare: NLP many applications in this sector related to patients, doctors, nurses. NLP bases chatbot can help to interact with the patients to get the answers from then to analyze the health conditions of the patients. It can extract the information from then physician notes to assign the medicine codes for the patients which can further be investigated and advised accordingly this saves the time of the physicians-based alerts have been designed to want the nurse about the emergencies of the patient under observation.

• Customer Care: NLP uses the customer feedbacks, views, sentiments, emotions to Recommend the right product and services to the customer. It can help customer to organize, classify emails, documents to get the right information at right time. NLPs are built on top of social media platform to gather customer reviews, and product contents to get the data insights for brand awareness.

• Hiring and Recruitment: NLP have helped HR professionals to a wider extent to speed up on the candidates search by going through the candidate resumes by sentimental and NLP based analysis through relevant synonyms and detecting the candidature suitable to the job requirements.

• Marketing and Advertisement: By analyzing digital media, emails, browsing history, NLP has helped advertisers to identify the potential customers and has helped the companies to invest in the appropriate place for their advertisement. Social Media has grown to a vast extent and keeping track of all the social media events is a cumbersome job, in such cases NLP has proven its stand to help people to scan millions of blogs and websites, social media posts to get updates on the current news in the industries and keep track of the competitors.