Analysing technology trends 2013

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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

description

Analysis of 8 prediction analyses, with text mining tools.

Transcript of Analysing technology trends 2013

Page 1: Analysing technology trends 2013

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

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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?

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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

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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

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invenQ

http: / /www. invenq.org

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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)