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Tag Archives: Text Analytics
The Apple Shake-Up: Part I
For Apple, last week will be remembered as one of its toughest and finest on record, and not just for its tumultuous stock prices, but for the staggering range of emotions that the company evoked throughout the week. The week began with … Continue reading
Posted in general
Tagged Apple, Data Mining, DiscoverText, iOS5, iPhone, IT, Sentiment Analysis, Texifter, Text Analytics
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Power Track for Twitter
It works! In less than 48 hours, the GNIP-enabled Power track for Twitter has pulled in more than a quarter million Tweets for the rule “Google”: 257, 284 to be precise, but that number changes faster than I can keep … Continue reading
Posted in general
Tagged Data Mining, DiscoverText, GNIP, Klout, Social Media, Texitfer, Text Analytics, twitter
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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
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
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
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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
FB Graph API Revisited
Following the blog post about oddities in the Facebook importing that Stu was experiencing while visiting the DMI summer school, I put on my detective hat and went looking for possible reasons why things that should be available from the … Continue reading
Posted in general
Tagged API Graph, Data Mining, DiscoverText, Facebook API, Social Media, Texifter, Text Analytics, twitter
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Facebook Graph Mysteries
During my recent visit to the Digital Methods Initiative (DMI) summer school, hosted by my good friend Richard Rogers, I had the pleasure of spending two days teaching and working with 35 exceptionally bright students who were new to the … Continue reading
Posted in research
Tagged API Graph, Data Mining, DiscoverText, Facebook API, Social Media, Texifter, Text Analytics
1 Comment
Making Sense of ESPN Tweets
Should you ever want to visualize the definition of “unstructured data”, there is no need to look beyond the beautiful chaos that is 503,000 ESPN tweets all harvested using DiscoverText. It would be an understatement to call an archive of … Continue reading
Posted in general
Tagged Data Mining, DiscoverText, ESPN, Machine Learning, Sports Classifier, Texifter, Text Analytics, Unstructured Data
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Top #GameofThrones Tweeters
Below is another in our series of training videos. In this episode, we introduce you to a great new feature for peaking into the list of top values in a particular meta data field. In the example here, I show … Continue reading
Posted in general
Tagged Data Mining, DisocverText, Game of Thrones, Social Media, Texifter, Text Analytics, Top Meta, twitter
2 Comments
Monitor Middle East Protests
Dear faithful users and intrigued future users of DiscoverText, My name’s Josh and I’m one of 3 user support specialists at Texifter LLC. For my first Texifter blog entry, I’m going to demonstrate how I’ve been using DiscoverText to capture … Continue reading
Posted in general
Tagged Data Mining, DiscoverText, Dissent, Facebook, Middle East, Protest, Social Media, Texifter, Text Analytics, twitter
3 Comments
Watch a DiscoverText Webinar
We have been holding Webinars for the last few years as a way to get the word out about our software, but also to learn about the issues people are having gathering, organizing, filtering, searching, coding and analyzing text data. … Continue reading
Posted in DiscoverText, product
Tagged Data Mining, DiscoverText, Machine Learning, Texifter, Text Analytics, Webinar
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A Classifier for the Masses
DiscoverText took a leap forward a few weeks ago with the addition of a beta text classifier from the developers over at uClassify (www.uclassify.com). Integration of this tool into a one-of-a-kind active-learning system inside DiscoverText allows users to create and … Continue reading
Posted in general
Tagged Data Mining, DiscoverText, Machine Learning, Texifter, Text Analytics, uClassify
2 Comments
Peer Network Privacy Controls
Tonight, we introduce two slightly overlooked but very powerful features of DiscoverText – building peer networks within the system and privacy controls. The peer functions and privacy controls within DiscoverText have been around since the inception of the system, so … Continue reading
Posted in DiscoverText, product
Tagged Data Mining, DiscoverText, Peer Functions, Peer Network, Privacy, Texifter, Text Analytics
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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 →