Visualizing Text!

Visualizing results from text has unique challenges. Visualizing Text Analysis will survey a number of different methods for displaying the results from text mining, and will go into the advantages and disadvantages of each, with examples from media monitoring, faceted search, survey analysis, and more.

We will cover:

Common software packages for visualization
Structured plots for unstructured text: Lines vs. bars vs. boxplots vs. piecharts vs. bubble charts
Less structured plots: word clouds vs. treemaps vs. clusters vs. graphs
Moving plots: animations over time

Audience take-aways:

Which visualization to pick when?
Why word clouds are awful for analysis, and what you can do about it
Where are we going?
How to avoid some common pitfalls

Seth Redmore has over 20 years of experience in product marketing and over 10 years of experience in text analytics - from the perspective of a user as well as a vendor. Seth has worked in a number of executive roles at both hardware and software companies, including co-founding Netiverse (who built a high-speed server load balancing system - bought by Cisco Systems in 2000). Seth is currently VP of Marketing at Lexalytics, Inc; working with the largest social and customer experience companies on the planet, helping them process billions of pieces of unstructured content every day and advising them on how to turn that raw data into actionable insights.