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How do you tell the difference between references to jobs in the workplace and Steve Jobs of Apple, when only the word jobs appears in a social media post? The answer is simple disambiguation via machine-learning. This video shows how to use DiscoverText to perform this important social media filtering task.
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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 Bio_Contains Rule
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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