Sramana Mitra: What else is interesting in your story? Seth Redmore: The problems – what doesn’t work well. I personally think that is the most fun part. The classic part of text analysis is humor and sarcasm. It is very hard to tell. For example, someone says, “I love the Apple store.” If that is
Sramana Mitra: What big data applications do you see yourselves being stuck in to? Certain big data applications or big data genres have a certain text analytics component to them. Seth Redmore: So you have a text. That is the first bit. But there is stuff that can be turned into text. That is what
Sramana Mitra: So you are taking the fire hose of Twitter data for Datasift and contextualizing it, and then your clients do whatever they do on top of that. Seth Redmore: Yes. What you do as an enterprise or entrepreneur is get a feed of data sets that is precisely tailored to your requirements and
Sramana Mitra: Let’s do a few use cases of your partners who are doing interesting applications using your base technology. Seth Redmore: Are you familiar with a company called Bitly? SM: Yes.
Seth Redmore is the vice president of product management at Lexalytics, a company that provides an engine to convert unstructured text into structured data. In this interview Seth talks about how Lexalytics provides big data solutions for its customers, the direction of development Lexalytics is taking, and how the company is willing to work with