Tag Archives: Texifter

Texifter is Plugged In to Gnip

We could not be happier to announce that Texifter, a developer of advanced text data analytics software, is partnering with Gnip, the world’s largest provider of social data. Our Plugged In to Gnip partnership certifies Texifter as an industry leader … Continue reading

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Five Pillars of Text Analytics

Document relevance is a key challenge for social media research. The specific problem of “word sense disambiguation” is widespread. If I am interested in “banks” where money is stored, I want to exclude mentions of river banks. If I am … Continue reading

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Texifter News: Migration to Azure and the Big Boulder Initiative

A brief follow up on Texifter. We successfully migrated “DiscoverText” (http://discovertext.com) to Microsoft’s Azure. It was very smooth, though we are going through a period of diminished search and filtering capabilities while the data re-indexes. Otherwise, the other capabilities appear … Continue reading

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Collecting Facebook & Twitter Data

This is an updated 4-minute tutorial on how to collect public Facebook data via the Open Graph API using DiscoverText. This is an even shorter 75-second tutorial on how to collect Twitter data via the public API. Tweet This Post

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Smoking Hot Data

We interviewed researchers at the University of Illinois Chicago in the Health Media Collaboratory about their use of DiscoverText and the Gnip-enabled Power Track for Twitter to study smoking behavior. The team, led by Dr. Sherry Emery, explains why it … Continue reading

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Tutorial Videos

Thanks to our friends at Screencast.com, we now have our entire tutorial video library indexed in a spiffy new media roll. Learn how to use DiscoverText to archive, filter, search, code, and machine classify text from social media, surveys, emails … Continue reading

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Texifter and Columbia University Launch New Gnip Data Feeds

AMHERST, MA, November 15, 2012 New collaboration brings greater social data coverage to research, education, and commercial users. Texifter, a text analytics start-up, is launching access to two new major blog data streams as part of its collaboration with Columbia … Continue reading

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Complete History of Twitter Now Available via GNIP

Texifter was the first company to join as a paying customer in the alpha “Snapshot” offering from Gnip. You can still take part in that alpha by submitting a request for a free estimate of a snapshot from Twitter’s complete … Continue reading

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Coders Needed!

We are building up a pool of coders for some new projects. If you are good at labeling text this may be an excellent opportunity for you. Graduate students are particularly welcome to join the pool. Coders accepted into the … Continue reading

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Interactive Custom Machine Classifier Histograms

This is the latest DiscoverText filtering feature designed to speed up the creation of accurate custom machine classifiers. This video shows how we use an interactive display of classifier scores to isolate items in a dataset that require further human … Continue reading

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Start-up Showcase

Joe and I had fun fielding questions, passing out literature and giving away DiscoverText t-shirts. Many thanks once again for the excellent facilities and services from our MassChallenge hosts. We met some leaders of cool start-ups, a number of interesting … Continue reading

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Shout Out to Boston New Tech Meetup #BNT19

A big thanks goes out to the organizers of the Boston New Technology Meetup, held at the Microsoft NERD Center on Tuesday, July 25th (#BNT19). The Citigroup-sponsored event gathered a nice crowd of entrepreneurs, technologists, and start-up enthusiasts, all of whom … Continue reading

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Coding Off a List

We are always looking for ways to speed up the process of creating accurate custom machine classifiers. Coding off a list is one such method. This video demonstrates a simple approach that can be applied to a variety of text … Continue reading

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Texifter in 60 Seconds

This 60-second video introduces our start-up. Click on the image below to see the Screencast and let us know what you think. Tweet This Post

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Analyzing Co-Occurrences

A common question we hear at Texifter is, “How can one derive co-occurrences in a slice of data?” DiscoverText makes this process relatively easy – when starting with one known variable. For instance, one might like to see which hashtags … Continue reading

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