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Archives for September 2011

PowerTrack for Twitter

September 5, 2011 by Stuart Shulman 3 Comments

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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” is 50-100 times the volume with powerful Klout, language and keyword filters. If you would like to participate in this trial, please leave us your contact information and tell us a little bit about your work. We will not be able to offer this trial service to everyone, so please make the case for the value you or your organization will add as beta testers.

Filed Under: DiscoverText, general, GNIP Tagged With: archiving, datamining, DiscoverText, Firehose, GNIP, PowerTrack, Research, Tweets, twitter

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Featured Posts

Bots, Trolls, and Elections

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Oh, Canada? A quick research note: your election is definitely under attack via Twitter, despite assertions to the contrary. This is part one of a nine-part series written in the run-up to the 2019 Canadian election. The research was reported by CTV and CBC. Twitter Data Collection on Canadian Elections For the last month, we […]

108 Authenticated Reviews

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We have been blessed with an engaging group of software users who wrote 108 authenticated DiscoverText reviews. Find out why researchers across the disciplines trust the platform.

Academic Citations

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We have long worked with diverse and talented scholars to support their publication efforts with free open source and affordable commercial software with academic discounts, free trainings, and almost unlimited enthusiasm for the challenge of capturing and coding text data. We are very pleased to announce a new crop of DiscoverText citations. You can see […]

Recent Posts

  • Top 100 Most Viral Tulsi OR Gabbard Tweets
  • Trump Trolls and Tulsi2020
  • Tulsi Gabbard and MAGA on Twitter
  • Oh Canada: Before You Vote…
  • Bots, Trolls and Elections: Part Nine

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Boolean defined search, n-grams, word clouds, and custom topic dictionaries

Power tools for text analysis and machine-learning

Discover central topics and also elusive but valuable unexpected or rare concepts. Use this information to train machine-learning classifiers to recognize relevant text and social media data. Jump into data using an interactive word CloudExplorer or build a mini topic dictionary using “defined” search. Try our new CloudExplorer listview for seeing the top 300 bigrams or trigrams in your data. Merge or delete terms as part of building your custom text analytics model.

DiscoverText is powered by uClassify

Machine-learning for everyone

Create gold standard training sets by labeling your training data accurately and reliably using our state-of-the-art collaborative annotation system. Then use our trusted, multilingual machine learning web service (uClassify) to create and apply your own custom-trained text classifiers. Please take the time to check out the work being done by the large and growing uClassify community.

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