Tag Archives: Machine Learning

Texifter, JetBlue & Google @SIOP

Prior to heading to IHRIM in Chicago at the beginning of May, Texifter will be making an appearance in San Diego at the 2012 Society of Industrial and Organizational Psychology (SIOP) Conference. SIOP is a division of the American Psychological … Continue reading

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Weibo Arrives @DiscoverText

After months of user anticipation, the Weibo API is now integrated into DiscoverText, our “do-it-yourself” text analytic solution for deriving insight from unstructured text. With over 300 million users, Weibo is the largest micro-blogging website in China. Its integration into … Continue reading

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Texifter in 60 Seconds

This is v1 of the 60-second Texifter elevator pitch. Feedback and questions are truly welcome. Just email stu@texifter.com. ~Thanks!   Tweet This Post

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Building a Social Sifter

Check out this video introducing our latest experiments creating custom social “sifters” to winnow down a lake of social media data and leave behind only those items that are truly responsive to your search. Great tool, or greatest tool ever? … Continue reading

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Why Try GNIP?

We asked folks signing up for the 2nd GNIP beta using DiscoverText why they were doing it. Here is a nice Wordle showing some of the common themes: We also asked for job titles. No surprise the professors lead the … Continue reading

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Tracking FEMA Emergency Hashtags

On November 9th, the Federal Emergency Management Agency(FEMA) conducted its first national test of the Emergency Alert System. In some communities this meant full involvement, with teams responding to mock emergencies, and managers monitoring the execution. In the deaf community, … Continue reading

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What is DiscoverText?

A 9-minute high-level overview of DiscoverText. Tweet This Post

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Black Friday Divide

Even as the crowds grew to record size, gunfire, and one epic fight over waffle irons, people still  ventured out to their local shopping malls and opened their wallets this Black Friday. With overall spending numbers up over 6%, Black … Continue reading

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200 Million Document Milestone

Only a few months ago, DiscoverText’s data ingest counter was steadily moving toward 100 million documents. This week, the software’s document ingest counter will cross the 200 million document line. You can see this for yourself on our homepage. With … Continue reading

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Holiday Shopping Update

From now until the New Year signals the close of the holiday season, Texifter analysts will focus DiscoverText’s tools on holiday shoppers. We will take a close look at their behavior and sentiment as they hit the stores during the … Continue reading

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DiscoverText Introduces Tools for Random Sampling

DiscoverText is rolling-out an addition to its analytical toolkit: random sampling. The Web-service already offers an array of tools for text analytics and rigorous, team-based qualitative data analysis. These functions include the ability to code and annotate text, measure inter-rater … Continue reading

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Apple Shake-Up, Part II: Tweets in Memoriam

On October 5th, the passing of Steve Jobs rocked the world. Millions were touched by the loss of one of the world’s great innovators who has firmly joined the ranks of Guttenberg, Franklin, and Edison. Over the 24 hours following … Continue reading

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Perry Loses Ground Post Debate

Prior to the CNN GOP Primary Debate last Tuesday, October 18, Texifter analysts had been collecting Tweets relating to every major Republican contender since late August. Earlier in the fall, we reported on the number of Tweets per candidate, which … Continue reading

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Rate Limits on Twitter

The evolution of the API opens the door for third-party developers to access information on social media networks. In the best case, this provides a healthy, democratic flow of information. Yesterday, DiscoverText had “rate limits” imposed in terms of its … Continue reading

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Presenting Actionable Insights

Everyday, users of social media miss out on potentially important pieces of information which they seek to find. This problem, which everyone encounters, illustrates a larger conundrum which confronts users of social media; information overload. For those who are not … Continue reading

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