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Data Visualization for Sensemaking - Middlesex University, London, UK

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Data Visualization for Sensemaking - Middlesex University, London, UK | vis4sense.github.io Reviews

https://vis4sense.github.io

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SensePath for Sensemaking Research

http://vis4sense.github.io/sensepath

SensePath for Sensemaking Research. What are the chanllenges in sensemaking research? The analysis of the experiment data collected from sensemaking study is often a manual and time-consuming undertaking. For example, transcribing and coding one hour of video recording can take 5-10 hours. Sensepath automatically captures and visualises the sensemaking actions, and. Semi-)automate the transcription,. Semi-)automate the coding,. Export result file for further analysis,. And many other things .

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SensePath for Sensemaking Research

http://vis4sense.github.io/sensepath/index.html

SensePath for Sensemaking Research. What are the chanllenges in sensemaking research? The analysis of the experiment data collected from sensemaking study is often a manual and time-consuming undertaking. For example, transcribing and coding one hour of video recording can take 5-10 hours. Sensepath automatically captures and visualises the sensemaking actions, and. Semi-)automate the transcription,. Semi-)automate the coding,. Export result file for further analysis,. And many other things .

3

TimeSets demo

http://vis4sense.github.io/timesets/demo/index.html

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TimeSet for Temporal Sets

http://vis4sense.github.io/timesets

TimeSet for Temporal Sets. What are the chanllenges in timeline visualisation? Current timeline visualisations do not allow grouping the event by a person or organisatin. Instead, this is usually done using colour or symble, which make it difficult to follow a person or organisation. Grouping events by person or organisation, while keep their temporal order. This makes it easier to:. Follow a person, organisation, or any other entity type (such as location),. See the inteaction of multiple sets,.

5

VAST Challenge 2014 - Social Media Analysis

http://vis4sense.github.io/vast2014mc3

SAVI: Social Analytics VIsulisation. This is a entry to the VAST Challenge 2014 Mini-Challenge 3. And won an Honourable Mention. The challenge provides a collect of tweets (micro blogs) and the task is to create a narrative describing the criminal activities hidden within. SAVI: Social Analytics VIsulisation. SAVI is the visual analytics tool we developed. It has three components:. A timeline visualisation tool that integrates natural language processing,. Each line is a tweet. K Xu, P. H. Nguyen...There...

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