Semantic Clustering for Nomenclature Purposes

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Information about Semantic Clustering for Nomenclature Purposes
Design

Published on January 4, 2009

Author: craphammer

Source: slideshare.net

Description

A bit of an idea on how to better capture meaning and semantic relationships within domains. Digitally slanted but could be applied from everything from a nomenclature task to engagement strategies.

Semantic Clustering for Nomenclature Purposes by Sean Howard

A very smart man Matthew Milan: http://tinyurl.com/3nklu8

A very smart man recently said, “In the last five years, I can't identify a single original method that has grown up inside the IA field.” “It's time to seriously invest in a new set of tools, and we're going to need to build some of them from scratch.” Matthew Milan: http://tinyurl.com/3nklu8

which got me thinking MEANING and how we struggle about RELATIONSHIPS with defining VALUE that bring to a domain

or more specifically NOMENCLATURE

Every UX job generally involves a nomenclature review, refinement or overhaul at some point or another How do we come up with our final recommendations?

I know a firm that hires a third party semiotician to define the value and meaning relationships for a project A black box solution, if you will Image Source: Mr. Noded, http://flickr.com/photos/jrnoded/

The rest of us tend to use brainstorm thesaurus card sort content theft etc. audit Image Source: Jacob Bøtter, http://www.flickr.com/photos/jakecaptive/

not to mention a stiff drink (or three)

and then we test, refine and repeat

What if there was a better way to identify semantic relationships with our actual audience?

What if there was a better way more MEANINGFUL to identify semantic relationships with nomenclature our actual audience?

What if we could build a map of meaning and explore proximity by association to better understand our audiences? For more information: Semantic Memory: http://en.wikipedia.org/wiki/Semantic_memory Priming: http://en.wikipedia.org/wiki/Priming_(psychology)

I give you: a semantic mapping tool

Here we see sample results in aggregate showing potential meaningful relationships held in common for one term Term: Consumer 82 68 58 42 Marketing 34 Product Person Fallacy Goods This could be further segmented by a number of other factors (demographic, psychographic, etc.)

Not everyone types at the same speed. Let’s define the avg. time to enter a word* from first keypress to last keypress as tkey tkey is 1.34 seconds * A word being defined by the act of the user pressing the submit button.

tthink can then be total time minus tkey where tthink can then be used to define those words that come quickest/easiest tthink tkey total time from presentation of word to submission of word by the user Note: deleting of the letters and starting over likely needs to be taken into account as well

We may want to segment clusters based on a factor of tthink (those that came to your audience quickest.) Term: Consumer 82 < 1.25 sec 68 < 2.50 sec 58 > 2.50 sec 42 Marketing 34 Product Person Fallacy Goods

Or alternatively, show words as nodes in a network diagram where the length of the line is the average speed to come up with the word. Product Term: Consumer Fallacy Person Goods Marketing There may also be value in the order in which words are entered.

This is about building a better understanding of the language and meanings pertinent to the stakeholders within a domain

I ran a simplified version of this experiment with three friends

I ran a simplified version of this experiment with three friends money hat Financials suit market bank account

I ran a simplified version of this experiment with three friends measurements charts company CFO Financials spreadsheets pale green projections

I ran a simplified version of this experiment with three friends corporate results Financials investing annual reports brownies

Two of my subjects show signs of a more personal relationship with “financials”

Two of my subjects show signs of a more personal relationship with “financials” One appears to relate stronger to financial presentations

Two of my subjects show signs of a more personal relationship with “financials” One appears to relate stronger to financial presentations The terms “hat”, “pale green” and “brownies” are some of the areas I would be curious to explore further Ann did mention being hungry during the experiment.

greater INSIGHT

Enabling us to create better content, define stronger navigation, and better connect with our audience

Anyone want to build this? Go for it. This work is licensed under the Creative Commons Attribution 2.5 Canada License. To view a copy of this license, visit http://creativecommons.org/licenses/by/2.5/ca/ Questions or Comments? Find me at: http://www.craphammer.ca/

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