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Use de-duplication and near-duplicate clustering to better understand the trends in Twitter. Quickly identify clusters of tweets you do and do not find useful. This is an old video, so the interface is different, but the functionality remains very useful for Twitter analysis.
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21 Core DiscoverText Features
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Advanced Filter by Twitter User
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Bloomberg Pilot Part Two
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Bloomberg Pilot Project
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Building a Social Sifter
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CloudExplorer in DiscoverText
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Coding Off a List
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Collecting Twitter Tweets - Free Tools
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Creating a New Project in DiscoverText
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Deduplicating and Clustering Public Comments
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Deduplicating Twitter
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Defined Searches
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DiscoverText Product Overview
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Fear and Loathing on the Social Campaign Trail
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GNIP has geo rule for power track
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Gnip's Power Track for Twitter
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Heat Maps Arrive in DiscoverText
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Interactive Custom Machine Classifier Histograms
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Jobs Versus Steve Jobs
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Multi Keystroke Coding
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Policy Agendas Update
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Power Track Tutorial - GNIP Firehose via DiscoverText
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Smoking Hot Data and Text Analytics
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Target Pilot Update
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Texifter in 60 Seconds
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The Future of eRulemaking
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TopMeta Feature on DiscoverText
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Uploading PST Files from Microsoft Outlook
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Why Adjudication