This document discusses natural language processing and deep learning techniques for analyzing text and images. It describes how APIs can extract keywords, topics, themes and categories from documents and images. Examples are given of extracting descriptions from images using these techniques, as well as analyzing user interests based on Instagram photos. The document promotes two people from the company Beeva who work on natural language processing and deep learning projects.

1. Avenida
de
Burgos
16
D,
28036
Madrid
hablemos@beeva.com
www.beeva.com
BEE
PART
OF
THE
CHANGE
COOKING
WITH
APIS
CREATING
VALUE
WITH
IMAGES
AND
WORDS
NIEVES
ÁBALOS
ENRIQUE
OTERO

2. I’m
Xavi

7. Let’s
cook!

10. Let’s
try
another
recipe

16. a
few
days
ago...

21. NOW!
HOW?
sustainable
WOW!

24. Natural
Language
Processing
InformaNon
ExtracNon
problem

25. Link
to
slides
about
word
vectors
from
NIPS
2013
Deep
Learning
Workshop:
NNforText.pdf
Word
Vector
Space
Natural
Language
Processing
word2vec
(Google)

26. RegulariNes
in
Word
Vector
Space
Natural
Language
Processing
word2vec
(Google)
grammaNcal
gender:
masculine
&
feminine
Link
to
slides
about
word
vectors
from
NIPS
2013
Deep
Learning
Workshop:
NNforText.pdf

27. RegulariNes
in
Word
Vector
Space
Natural
Language
Processing
word2vec
(Google)
...
Vector
space
operaNons
deducNon
@
context:
country
&
capital
Link
to
slides
about
word
vectors
from
NIPS
2013
Deep
Learning
Workshop:
NNforText.pdf

28. NLP
3rd
party
APIs

29. NLP
Our
API
extracts
from
URLs/docs
Language
Keywords
EnNNes
Concepts
Related
words
Topic
Theme
Theme
extracNon
Category
AcNon
COMINGSOON!

30. PROOF
OF
CONCEPT
Summarize
and
categorize
documents
keywords
topic
(category)
theme
(1-­‐word
summary)

31. An
image
is
worth
1000
words

32. But...
not
for
machines

33. (*)
there
are
two
men
who
appear
to
be
pracZcing
marZal
arts
(*)
a
cat
si[ng
inside
of
a
piece
of
luggage
(*)
real
examples
extracted
from
hp://deeplearning.cs.toronto.edu/i2t
...
unNl
NOW!

34. DEEP
LEARNING
APIs
COMINGSOON!
and...

35. PROOF
OF
CONCEPT
Analyzing
user
interests
based
on
Instagram
pictures

36. ANIMALS
NATURE
TOURISM
SHOWS/EVENTS
FOOD
SPORTS
BEAUTY
12
custom
categories
1000
predefined
labels
(wordnets)
3rd-party Deep Learning API
stage
restaurant

40. Fast
validaNon
and
back
to
the
kitchen...

41. ...
and
to
the
garden

43. www.beeva.com
hablemos@beeva.com
Enrique
Otero
Cooking
with
images
enrique.otero@beeva.com
Nieves
Ábalos
Cooking
with
words
nieves.abalos@beeva.com
@nieves_as
Thank
you!
QuesNons?