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Category Archives: general
22,348 bin Laden Tweets: Coded!
It took all of three days for 27 individuals from around the country (and maybe the world) to collectively code 22,348 Tweets that mentioned Osama bin Laden, following his assassination. This crowdsourcing feat, sponsored by the Qualitative Data Analysis Program … Continue reading
Posted in DiscoverText, general, product, research
Tagged analytics, Bin Laden, coding, Crowdsource, DiscoverText, QDAP, Tweets, twitter
1 Comment
Crowdsourcing bin Laden Humor
This Saturday, Texifter will begin its first foray into crowdsourcing, the relatively new phenomenon made possible by complex and fast information networks. Crowdsourcing seeks to tap the collective intellect of a large group to find a result instead of relying … Continue reading
Posted in general
Tagged big data, Bin Laden, coding, collaboration, crowdsourcing, Data Mining, Text Analytics
3 Comments
Major Functionality Updates
Thanks to our superb development staff, Texifter has launched new updates to DiscoverText on both the front-end and back-end. The updates unlock a new level of speed, interactivity, and functionality. Overall, the updates enhance user’s ability to mine data for with … Continue reading
Posted in general
Tagged charts, DiscoverText, graphs, SIFTER, software, visualization, Web
1 Comment
100 Million Documents
A few days ago, DiscoverText ingested document 100,000,000. It was probably a Tweet. Researchers woke up today to a newly optimized database of more than 300,000,000 meta data values. Over the coming days and weeks, we will be rolling out … Continue reading
GOP Twitter Benchmarks
PRE-DEBATE (September 1st – September 7th) It’s September again, summer vacations have ended, schools are back in session, and the presidential primary election campaign is in full swing. While Zogby International and Gallup polling may tell you that Perry and Romney … Continue reading
Posted in general
Tagged analytics, debate, election, GOP, issues, presidential, Republican, Tweets, twitter
4 Comments
PowerTrack for Twitter
DiscoverText is preparing to launch a short and exclusive beta test period using “PowerTrack for Twitter Firehose Filtering” a service provided by GNIP. Compared to the “rate limited” service offered by DiscoverText through the public Twitter API, the “Full Firehose” … Continue reading
Posted in general
Tagged archiving, datamining, DiscoverText, Firehose, GNIP, PowerTrack, Research, Tweets, twitter
5 Comments
Topic Modeling Using LDA
Prior to the groundbreaking research of Blei, Ng, and Jordan, delivered in a 2002 paper, the world of latent Dirichlet allocation(LDA) was underdeveloped and far from being used in the commercial world. LDA, a powerful statistical learning algorithm, is a … Continue reading
Posted in general
Tagged analytics, Data Mining, Dirichlet, LDA, model, NLP, topic, unsupervised
2 Comments
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
Posted in general
Tagged analytics, API, DiscoverText, Machine Learning, Social Media, Texifter, Text Analytics, twitter
4 Comments
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
Posted in general
Tagged analytics, Data Mining, DiscoverText, Facebook, Machine Learning, R&D, Social Media, Texifter, twitter
3 Comments
DiscoverText Webinar
Learn to Use DiscoverText – Free Tutorial Webinar Tuesday August 16 at 1:00 PM EST Webinar Registration: https://www1.gotomeeting.com/register/750225288 This free, live Webinar introduces DiscoverText and key features used to ingest, filter, search & code text. We take your questions and … Continue reading
Posted in general
Tagged Active Learning, Data Mining, DiscoverText, Facebook, Machine Learning, Social Media, Texifter, Text Analytics, twitter, Webinar
Comments Off
Klout Marketing by Spotify
In Q1 of this year, serious internet chatter surfaced about the possibility of popular Swedish online streaming music service Spotify launching in the U.S. Spotify is a tantalizing proposition for the American media consumer. While there are costs incurred, the service … Continue reading
Posted in general
Tagged Data Mining, DiscoverText, Internet Markting, Klout, Machine Learning, Pandora, R&D, Social Media, Spotify, statistics, Streaming Music, Texifter, Text anaytics, twitter
Comments Off
Twitter Opinion on Debt Ceiling
LATEST TWITTER OPINION POLLS REGARDING THE DEBT CEILING: (CONSISTENT WITH ZOGBY POLL NUMBERS) Here’s how we got there…. Since the debt ceiling fiasco began, nation-wide outrage toward Washington has been at an all time high. Naturally, here at Texifter, we … Continue reading
Posted in general
Tagged Data Mining, Debt Ceiling, Democrat, DiscoverText, Machine Learning, Politics, Republican, Social Media, Tea Party, Texifter, Text Analytics, Zogby Polls
7 Comments
Hurtigruten: A Norwegian Social Media Phenomenon
Here at Texifter, we are regularly impressed by the many ways in which our increasing number of end-users discover new ways to apply DiscoverText’s capabilities to their own research. With each new success story, we are – once again – … Continue reading
Posted in general
Tagged DiscoverText, Facebook, Hurtigruten, Social Media, Texifter, Text Analysis, twitter, Twitter Analysis
Comments Off
Updates to the DiscoverText Terms of Service
Effective July 25th, 2011, Texifter has modified the Terms of Service governing its DiscoverText product and the use of Texifter’s services and sites in general. The primary changes of importance include: Paragraph 1.1: we’ve removed the phrase “and excluding any … Continue reading
ACUS Calls for ‘Reliable Comment Analysis Software’
In a recent series of recommendations, the Administrative Conference of the United States (ACUS), announced findings under the auspices of “Legal Considerations in e-Rulemaking,” from the Committee on Rulemaking. Having spent more than decade working on e-Rulemaking, I was curious … Continue reading →