SCOTT CUNNINGHAM: Hello.
This is Scott Cunningham and that
the Delft University of Technology.
Welcome to Text Mine.
As our world becomes
more and more digitized,
the digital footprint of
people and organizations
grows ever more intensive.
A great portion of our digital footprint
is comprised of text in various forms,
such as blog posts, social
media messages, Wiki
entries, scientific publications,
and technology patents.
Text mining is the process of
delivering high quality information
from these digital sources.
In this course, we're going to learn
how to distill huge amounts of text data
into information, and
thereafter, into knowledge.
As you'll see, this can be
accomplished relatively easy
with a few simple tools.
We strive to create a course
that is relevant for managers,
as well as practitioners of text mining.
Therefore, the course
involves hands-on experience
and does not require advanced
knowledge of statistics,
machine learning or programming.
Assignments throughout
the course involve
using recipes to accomplish various
interesting text mining tasks.
These recipes make it possible to
learn text mining at a practical level
without writing these
codes from scratch.
This makes the course an efficient
first step in mastering text mining.
By taking this course, you can
understand rapid changes in technology.
You can monitor your social
and competitive environment.
For this purpose, we'll learn how to
collect data from social media channels
and other syndicated
sources of information.
We'll also consider how to infer
and derive knowledge from this data.
With our recipe based
approach, these applications
demonstrated here can be seamlessly
customized for your own needs.
Whether you're a manager of text
mining, a text mining practitioner,
or even someone who'd like to collect
and process social media data,
you should take this course.
Join us on the text mining
professional education course
and learn how to use simple,
yet fundamental tools to extract
the most from your data.
