TECHNOLOGY TRENDS 2013

invenQ Proof of concept demonstration http://www.invenq.org

Using text mining solutions to analyze different approaches and opinions without reading every analysis

Time period for predictions

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This year analysis includes predictions from:

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This year analysis includes predictions from:

DIFFERENT FOCUS APPROACHES OPINIONS

How can we combine the different – sometimes contradicting – opinions?

What are the main trending words?

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Who will deliver innovation? GOOGLE – FACEBOOK – MICROSOFT – APPLE*

5 *Apple has not appeared in either analysis

2 0 1 3 the year of: Mobile

communication

Customer focus

Services Applications

Digital ecosystem

also trending in 2012

new highlight

new highlight

new highlight

also trending in 2012

invenQ

http: / /www. invenq.org

Appendix: used tool and methods

Text elicitation •  Selection of sources

Tokineze text •  Splitting text into a

sequence of words

Transform cases •  Unify words

Filter Stopwords •  Removing common words

Generate n-Grams •  Creating terms, as a series

of consecutive words • Max length: 3

Further filtering •  Filter words on lenght (min.

2 letters)

Filter of possible overlappings • Overlapping on words and

n-Grams

Visualisation •  Using visualisation tools

(word cloud, scatter plot)

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Title page illustration by Dennis Vu Photography for Unleashed Media (CC)