What is natural language processing:
Natural language processing is a branch of artificial intelligence that enables computers to understand, generate, and process human language. Natural language processing has the ability to interrogate data with text or audio in natural language. Neuro-Linguistic Programming (NLP) is the core technology behind virtual assistants, such as: oracle digital assistant (ODA) - SIRI - Cortana - Alexa.
When we ask these virtual assistants questions, NLP is what enables them to not only understand the user's request, but also respond in natural language.
NLP is a great tool to get a higher ranking for your business in online searches by analyzing searches to improve your content. Search engines use NLP to rank their results, and knowing how to use these techniques effectively makes it easier to rank above your competitors.
•Analyzing and organizing large document collections: NLP techniques such as document clustering and topic modeling simplify the task of understanding the diversity of content in large document collections, such as company reports and news articles.
•Social media analytics: NLP can analyze customer reviews and social media comments to better understand vast amounts of information. Sentiment analysis identifies positive and negative comments on social media, providing a direct measure of customer sentiment in real time which leads to huge gains in the future such as increased customer satisfaction and revenue.
•Market Insights: With NLP analyzing your customers' language, you will have a better ability to deal with what they want, as well as a better idea of how to communicate with them.
•Content supervision: If your business attracts large amounts of user or customer feedback, NLP enables you to moderate what is said in order to maintain quality.
Industries that use natural language processing: NLP simplifies and automates a wide range of business processes, especially those involving large amounts of unstructured text such as emails, surveys, and social media conversations.
Here are some examples of practical applications of NLP:
1-Health care: As health care systems around the world shift to electronic medical records, they face large amounts of unorganized data. NLP can be used to analyze and gain new insights into health records.
2-legal: To prepare a case, lawyers must often spend hours examining documents related to the case. NLP technology can automate the legal discovery process, reducing time and human errors.
3- Finance: The financial world moves very quickly in the financial field. Traders use NLP technology to automatically extract information from company documents and news bulletins to extract relevant information for their investment portfolios and business decisions.
2-Customer service: Many large companies use virtual assistants or chatbots to help answer basic customer inquiries. Insurance: Major insurance companies use NLP to scan documents and reports related to claims, in an attempt to simplify the way business is done.