COURSE DESCRIPTION
This course gives you a rare
glimpse into how some of the top technology start-ups are using
intelligent software like NLP (natural language processing) to
understand what their customers write without having humans actually go
through what's written.
This course is based
on a private talk given by one of the engineers who works at
FourSquare. The talk covers many topics like how the engineers at
FourSquare determine text sentiment, how they deal with time issues
related to when certain text was written, how they detect and deal with
spam, and much more.
This course will take about an hour to complete. It is all video, which is Udemy's preferred course lecture type.
If you have any questions about the course, send me a direct message and I will get back to you within 24 hours.
This course is intended for software engineers who are
interested in learning NLP, and want to know about some of the practical
applications of natural language processing.
CURRICULUM
Counting phrases that appear in the data and various text
Course introduction
Course introduction and introduction to NLP (natural language processing)
Data set used at FourSquare
Determining people's tastes
Determining timing and seasonality
Handling sentiment phrases like "to die for"
How the counting of words is done to determine importance
Introduction to NLP
NLP at FourSquare
NLP at FourSquare & Why FourSquare uses NLP
NLP tools needed to perform various common NLP tasks
Spam detection using NLP by counting keyword ocurrances
Understanding text sentiment
LINK FOR THE FREE COURSE
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