Machine Learning and Text Analytics

The goal of Natural Language Processing (NLP) is to accomplish human-like language processing, which may in itself, make it twice as important as most critical areas of artificial intelligence (AI).

We ask questions of AI systems and expect reasonable answers. This includes chatting with Alexa, Siri, Hey Google, Xiaodu, and a host of other personal assistants. Whether we’re extracting data from research papers, news services, Twitter or other social media platforms, natural language is increasingly becoming the way we interact with AI. In fact, we even use bots to communicate with customers and clients in many different languages.

Our webinar provides an overview of the implementation of textural data analysis from processing input through sophisticated analytics, and finally returns the answers humans want. We’ll survey the technologies behind these feats and examine the hot areas of research and where they’re heading.

You Will Learn:

  • The many practical applications of text analytics
  • Why we preprocess text data and how we prepare it for machine learning
  • Text matching and analytic techniques to resolve practical problems
  • How to deploy applications for prediction and analysis

Don't Miss Out

Complete and submit the form below to watch the webinar.

Enter your My Learning Tree Account to watch the on demand webinar.

Please enter your username Please enter a valid username (email.) The maximum number of characters allowed is 45.
Please enter your password. Incorrect username or password.

Create your free My Learning Tree Account to gain instant access to all our live and on demand webinars, job-related complimentary resources, and more!

Please enter your first name. The maximum number of characters allowed is 14.
Please enter your last name. The maximum number of characters allowed is 20.
Please enter your email. Please enter a valid email. The maximum number of characters allowed is 45. An account already exists.
Please enter your confirm email. Please enter a valid confirm email. The maximum number of characters allowed is 45. The email and confirm email do not match.
The minimum number of characters is 6. Please enter a password. The password does not meet the complexity requirements.
Please confirm password. The password and confirm password do not match.
Please enter your company. [GatedContent.Webinars.Validation.NewAcount.CompanyMaxLength]
The maximum number of characters allowed is 14.
Please accept the terms and conditions.

Please select all benefits you wish to receive email updates on to support your learning journey:

Without a My Learning Tree Account, you will need to choose this option every time to gain access to our complimentary job-related resources


Presented by Dan Buskirk

Dan has been an instructor at Learning Tree for more than 14 years and has developed a SQL Server & Microsoft curriculum. In addition to teaching, he has helped corporations and government agencies gather, store, and analyze data. He has also taught and mentored their teams using the Microsoft Business Intelligence Stack to impose order on chaos. In addition to his professional data and analysis work, Dan is a proponent of functional programming techniques in general, especially Microsoft’s .NET functional language F#.

Please Choose a Language

Canada - English

Canada - Français