What are your users doing on your website or in your store? How do you turn the piles of data your organization generates into actionable information? Where do you get complementary data to make yours more comprehensive? What tech, and what techniques?
The Fifth Elephant is a two day conference on big data.
Early Geek tickets are available from fifthelephant.doattend.com.
The proposal funnel below will enable you to submit a session and vote on proposed sessions. It is a good practice introduce yourself and share details about your work as well as the subject of your talk while proposing a session.
Each community member can vote for or against a talk. A vote from each member of the Editorial Panel is equivalent to two community votes. Both types of votes will be considered for final speaker selection.
It’s useful to keep a few guidelines in mind while submitting proposals:
Describe how to use something that is available under a liberal open source license. Participants can use this without having to pay you anything.
Tell a story of how you did something. If it involves commercial tools, please explain why they made sense.
Buy a slot to pitch whatever commercial tool you are backing.
Speakers will get a free ticket to both days of the event. Proposers whose talks are not on the final schedule will be able to purchase tickets at the Early Geek price of Rs. 1800.
How can text be analysed quantitatively?
How can it be visualised?
What tools exist today that I can use?
This tutorial will walk through examples, available tools, and the theory behind visualising text.
There are a surprisingly large number of techniques for visualising text have emerged in the last five years. Streamgraphs, document arcs, word spectrums, the ever popular word cloud, etc.
Combined with traditional analytical techniques like sentiment analysis, statistical improbability, stemming, n-gram Markov chains, etc, we now have powerful ways of summarising and extracting meaning from text.
This session will walk through examples of popular text visualisations in an easy-to-understand way, online tools you can use right away, and provide you a starting point to build your own applications to visualise text.
Anand is a data scientist at Gramener, a data visualisation company.