Webinar Artificial Intelligence for HR departments. Text-based sources

Artificial Intelligence for
Human Resources. Text-based
sources.MEANINGCLOUD – WEBINAR – JUN-06 2018
JUN-6-WEDNESDAY. HOLD ON!, WE ARE ABOUT TO
BEGIN…
• 11 AM (EASTERN TIME U.S-CANADA)
• 08 AM (PACIFIC STANDARD TIME)
05 PM (CENTRAL EUROPEAN TIME)

MEANINGCLOUD – ARTIFICIAL INTELLIGENCE FOR HUMAN RESOURCES
2
Short Introduction: Eduardo Valencia
LIBROS
PEOPLE ANALYTICS-ES PEOPLE ANALYTICS-US
DATA COACHING
• Background as a linguist in the XX century
• Data Analytics roles since 1995
• New York-based.

3
Natural Language Processing for HR
https://www.hranalyticsacademy.com/natur

4
On-campus Master in People Analytics
Master. On-campus. Madrid. Data &
Analytics for Human Resources

5
How to participate
1. Send questions with the
CHAT feature
2. Click your RAISE YOUR
HAND button to speak. We
will enable your mic.
The recording as well as the
presentation will be available
online

6
Reasons 2 live demos
Agenda
Focus on text-analytics
for the HR
departments
Artificial
Intelligence
Questions
Answers

8
Artificial Intelligence: definitions
Artificial
Intelligence
DEFINITIO
NS
Artificial
intelligence (AI) is the
ability of a computer
program or
a machine to think
and learn.
Artificial
program or
a machine to think
and learn.
Artificial
Intelligence is the
replication of
human intelligence
in computers.

9
Robots replacing human beings
Elon Musk:
“Robots will
take your
jobs,
government
will have to
pay your
wages!”

10
A threat to humankind?
Elon
Musk

11
Apocalypse Now!!!!!!

12
The 3 rules of good AI for Hr by MeaningCloud
#1. Understand causes
#2. Anticipate consequences
#3. Explain it all to the stake-holders
http://www.eduardovalencia.com/2017/10/clear-and-simple-algorithms-for-people.html

13
About unstructured data = about text sources
Artificial
Intelligence
Artificial
program or
a machine to think
and learn.
Did you know that 80% of
business-relevant
information is made up of
text?

14
A great opportunity
Artificial
Intelligence
Artificial
program or
a machine to think
and learn.
There is a great opportunity
for those who can leverage
that type of data.

15
The problem
Artificial
Intelligence
Artificial
program or
a machine to think
and learn.
But, there is a problem. The
information available is
massive.

16
NLP subdiscipline of Artificial Intelligence
Artificial
Intelligence
Artificial
program or
a machine to think
and learn.

17
Remember!
Natural Language Processing is the
ability of machines to understand
and interpret human language the
way we human beings do.

Collecting
Text-based data on social
networks, surveys…
structured and
non-structured data
Dashboards-Queries-Alerts
Tagging
Semantic platform
Architecture
Sales ERP-HRIS VOC
1
1.
2.
3.
4.
5.

19
What is Natural Language Processing?
#1. We humans are rather talkative!

20
What is Natural Language Processing?
#2. Chatbots are cool!

21
#2. Chatbots

22
#3 Open-ended questions
#3. More and more open-ended
questions

23

24

25
#4 VoE
#4. Listening to the Voice of the
Employee is a must

26
#5 Exit surveys
#5. Exit interviews point out to
necessary improvements

27
#5 Exit surveys
"What are your main reasons for leaving?"
"What did you like most/least about the
organization?"
"What, if improved, would have caused you to
stay at the organization?"
"Would you recommend the organization to
others as a good place to work, study, join?"

28
#6 Resumes
#6: Automation of resume reading
saves a lot of work.

29
#7 General-purpose NLP tricks
#7. Lastly, several general purpose
NLP tricks

30
a. Automatic sumarization
1. Summaries reduce reading time.
2. When researching documents, summaries make the selection process
easier.
3. Automatic summarization improves the effectiveness of indexing.
4. Automatic summarization algorithms are less biased than human
summarizers.
5. Personalized summaries are useful in question-answering systems as
they provide personalized information.
6. Using automatic or semi-automatic summarization systems enables
commercial abstract services to increase the number of texts they are
able to process.

31
b. Text-to-Speech

32
c. Machine Translation

33
d Spell correctors

34
Takeaways
• 1. 80% is text
• 4. Voice of Employee
• 3. Open-ended questions
• 2. Chatbots are cool
• 5. Exit surveys
• 6. Resumes
• 7. Miscellanea: Summarization, text-to-speech, machine translation, spell
correctors

35
Artificial Intelligence POLL
Artificial
Intelligence
POLL
Take the poll, please…
Artificial Intelligence... Which areas of
practice at AI do you think may add value
to your HR department?
(MULTIPLE ANSWERS, THIS IS NOT A TRAP,
NO RIGHT ANSWER,

Trying our free
demo of Voice
of the
Employee
https://www.meaningcloud.com/demos/voice-of-the-employee-

37
The wedding cake 1

38
The wedding cake 2

39
Vertical Packs: voice of the employee
https://www.meaningcloud.com/products/vertical-packs

40
Vertical Packs: voice of the employee
https://www.meaningcloud.com/developer/documentation/vertical-packs

41
3 classification models: PERFORMANCE REVIEW
•Performance Review, to
analyze the performance
reviews of an employees.
Sources are regularly open-
ended questions at different
surveys such as eNPS or
performance reviews.
•https://www.meaningcloud.com
/developer/documentation/supp
orted-deep-categorization-
models/voe-performance

42
3 classification models: ORGANIZATION
•2. Organization, to analyze the
opinion of the employees about
the company. Typical sources
include employee forums, social
networks or focus groups.
models/voe-organization

43
3 classification models: Exit Interviews
•3. Exit Interview, to analyze
why employees leave the
company.
models/voe-exitinterview

44
Live Demo https://www.meaningcloud.com/demos/voice-of-the-employee-
demo#

45
demo#

46
demo#

BUILD YOUR
DASHBORD
Regular and special sources for the Voice of the
Employee

MEANINGCLOUD – PHARMA DECK - JUNE 7, 2018
48
Blog post
https://www.meaningcloud.com/blog/voice-of-the-employee-dashboard

49
Webinar as a reference: Recorded webinar: Vertical Packs, VoC, VoE
https://www.meaningcloud.com/blog/recorded-webinar-vertical-packs-
voc-voe

50
Excel: Raw-texts
https://www.meaningcloud.com/wp-content/uploads/2018/02/VOE-Dashboard-graphs.xlsx

51
Excel versions
A necessary warning about Excel: Each version of
Excel has different menus and options. Mac and
Windows are clearly different, on the other hand.
From the perspective of the graphs available, Office
2016 has significant advantages over previous
versions.

52
Excel: raw texts

53
Excel: after the API

9. BEST LABELS
No se puede hacer con una tabla dinámica. Hay que mantener las columnas originales.

10. WORST
LABELS
No se puede hacer con una tabla dinámica. Hay que mantener las columnas originales.

66
Blog post
https://www.meaningcloud.com/blog/voice-of-the-employee-dashboard

67
Q&A
Artificial
Intelligence
Artificial
program or
a machine to think
and learn.
support@meaningcloud.com

Automating the extraction of Meaning from any
information source.
35-37 36th Street
11106 Astoria NY
Email: jgonzalez@meaningcloud.com
Sales: evalencia@meaningcloud.com
Phone: +1 (646) 403-3104
Address
Contact Info
Telephon
e
MeaningCloud
LLC
meaningcloud.com

www.meaningcloud.com
Automating the extraction of Meaning from any information source.
+1 (646) 403-3104
3537 36th Street
New York, NY 11106 sales@meaningcloud.com

Artificial Intelligence for Human Resources. Text-based
sources.
MEANINGCLOUD – WEBINAR – JUN 2018

Webinar Artificial Intelligence for HR departments. Text-based sources

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