A common question we hear at Texifter is, “How can one derive co-occurrences in a slice of data?” DiscoverText makes this process relatively easy – when starting with one known variable. For instance, one might like to see which hashtags or links or keyword co-occur with other hashtags, links, and keywords in a given archive. In this case below, it is done with an archive of Romney tweets.
To derive this insight, DiscoverText users can use the “TopMeta Discovery” function to quickly “slice” a timeframe of their data into a bucket (a saved search result).
Finally, with the known variable isolated to a bucket, users can easily utilize functions such as TopMeta or the interactive cloud explorer in DiscoverText to pull out co-occurring links, hashtags, keywords, and other substantive insight and analyze the tweets that reference such data.
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