3 Natural Language Processing Examples at Work

The objective of this section is to discuss the Natural Language Understanding (Linguistic) (NLU) and the Natural Language Generation (NLG). You simply copy and paste your text into the WYSIWYG, and the tool generates a summary. Like all GPS apps, it comes with a standard female voice that guides you as you drive. But you can also download voice packs of famous people like Arnold Schwarzenegger and Mr. T to make your drive just a bit more entertaining. Of course, you can use it to check for content gaps or opportunities to expand single pieces of content into clusters. You can analyze your existing content for content gaps or missed topic opportunities (or you can do the same to your competitors’ content).

• For example, an application that allows you to scan a paper copy and turns this into a PDF document.
• NLP enables automatic categorization of text documents into predefined classes or groups based on their content.
• CallMiner is the global leader in conversation analytics to drive business performance improvement.
• Uber took advantage of this concept and developed a Facebook Messenger chatbot, thereby creating a new source of revenue for themselves.

These can sometimes overwhelm human resources in converting it to data, analyzing it and then inferring meaning from it. NLP automates the process of coding, sorting and sifting of this text and transforming it to quantitative data which can be used to make insightful decisions. A website integrated with NLP can provide more user-friendly interactions with the customer.

NLP in the food and beverage business at Starbucks

This tool allows the translation of both standard text and text snippets (tags, search queries, etc.). It can analyze your social content for you to understand how people feel about your brand. You can use a content analyzer to create a chatbot or to determine trending topics that are worth writing about. By understanding how content marketing services apply NLP and AI, you should get a pretty good picture of how you can use this still-developing tech for your brand. The technology here can perform and transform unstructured data into meaningful information. Integrating NLP into the system, online translate languages in a more accurate manner with correct grammatical results.

One of the best NLP examples is found in the insurance industry where NLP is used for fraud detection. It does this by analyzing previous fraudulent claims to detect similar claims and flag them as possibly being fraudulent. This not only helps insurers eliminate fraudulent claims but also keeps insurance premiums low. Watch IBM Data & AI GM, Rob Thomas as he hosts NLP experts and clients, showcasing how NLP technologies are optimizing businesses across industries. IBM Digital Self-Serve Co-Create Experience (DSCE) helps data scientists, application developers and ML-Ops engineers discover and try IBM’s embeddable AI portfolio across IBM Watson Libraries, IBM Watson APIs and IBM AI Applications.

Data Mining & Analysis

Since all the users may not be well-versed in machine specific language, Natural Language Processing (NLP) caters those users who do not have enough time to learn new languages or get perfection in it. In fact, NLP is a tract of Artificial Intelligence and Linguistics, devoted to make computers understand the statements or words written in human languages. It came into existence to ease the user’s work and to satisfy the wish to communicate with the computer in natural language, and can be classified into two parts i.e. Natural Language Understanding or Linguistics and Natural Language Generation which evolves the task to understand and generate the text. Linguistics is the science of language which includes Phonology that refers to sound, Morphology word formation, Syntax sentence structure, Semantics syntax and Pragmatics which refers to understanding.

Read more about https://www.metadialog.com/ here.