Analysis of 8 prediction analyses, with text mining tools.

1. TECHNOLOGY TRENDS 2013
Using text mining solutions to analyze different approaches
and opinions without reading every analysis
Proof of concept demonstration
http://www.invenq.org invenQ

2. Time period for
predictions
This year analysis includes
predictions from:
2

3. FOCUS
DIFFERENT APPROACHES
OPINIONS
How can we combine the different – sometimes contradicting – opinions?
This year analysis includes
predictions from:
3

4. What are the main trending words?
4

5. Who will deliver innovation?
GOOGLE – FACEBOOK – MICROSOFT – APPLE*
5
*Apple has not appeared in either analysis

6. 2 0 1 3 the year of:
also trending
Mobile in 2012
communication
new
new highlight
highlight Digital Customer
ecosystem focus
also trending new
in 2012 highlight
Applications Services

7. invenQ
h t t p : / / w w w. i n v e n q . o r g

8. Appendix: used tool and methods
Text elicitation Further filtering Filter of possible
• Selection of sources • Filter words on lenght (min. overlappings
2 letters) • Overlapping on words and
n-Grams
Tokineze text Generate n-Grams Visualisation
• Splitting text into a • Creating terms, as a series • Using visualisation tools
sequence of words of consecutive words (word cloud, scatter plot)
• Max length: 3
Transform cases Filter Stopwords
• Unify words • Removing common words
Title page illustration by Dennis Vu
Photography for Unleashed Media
(CC)
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