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Exporting TopMeta

 Posted on April 26, 2012 by Josh Sowalsky

Due to popular demand, the product development team at Texifter is proud to announce that “TopMeta” is now exportable! What does this mean, you might ask?

What is TopMeta?

When you import either your own data or live social media feeds into DiscoverText, that data often includes various “metadata,” providing a wealth of revealing information about the Tweet, Facebook post, public comment, or survey response you will be analyzing. “TopMeta Explorer” is the function in DiscoverText that allows you to view the number of most (or least) frequently occurring metadata items and filter your data according to that metadata. Considering the wealth of metadata that may be within your data, the ability to easily organize and filter such metadata may turn out to be the difference between substantive and inadequate research.

Metadata is Power

When might the organization of metadata come in handy, you may also ask? It’s easy to imagine the answer to this question when you consider the kinds of metadata you may collect from live feeds such as the public Twitter API or the GNIP PowerTrack. From those feeds alone, you may collect any of the following metadata (depending on your search method):

1) The time & date of a Tweet, 2) the account name of the tweet’s sender, 3) the real name of the tweet’s sender, 4) the “hashtags” in a tweet, 5) the account name(s) “mentioned” in a tweet, 6) the shortened URL in a tweet, 7) the expanded URL in a tweet, 8) a link to the tweet itself, 9) a direct link to the media in a tweet, 10) the geo-coordinates from which a tweet is sent, 11) the number of “followers” of a tweet’s sender, 12) the number of those “following” a tweet’s sender, 13) the date that a tweet sender’s account was created, 14) the city of the tweet sender, and 15) the “Klout” score of the tweet’s sender.

 

Exporting TopMeta

Until now, the “TopMeta Explorer” function has allowed users to easily sort this kind of metadata within DiscoverText.

As of this week, this metadata can now be exported as a .CSV file, empowering Enterprise DiscoverText users to more seamlessly utilize the capabilities of DiscoverText, in tandem with their other research tools. We’ll continue to keep you posted about exciting new developments in DiscoverText as they are launched. If you are interested in trying DiscoverText for yourself, sign-up at discovertext.com and email me at josh@discovertext.com. I’ll be happy to get you started.

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About Josh Sowalsky

Josh Sowalsky is the Director of User Support at Texifter, where he has worked since September 2010. He holds two degrees in Political Science and Middle Eastern Studies from UMASS Amherst, where he minored in History, Arabic, and International Relations. While at UMASS Josh designed and taught an advanced course that examined the intersection of technological development and national identity formation. Serving also as a research assistant in the UMASS Political Science department, he researched and published articles on electoral politics and political dissent in Jordan. Josh has conducted and presented multilingual field research on civil society development, democratization, and national identity formation throughout the Middle East - namely in Israel, Lebanon, and Syria. His honors thesis was entitled, "The Role of Women's Rights NGOs in Syrian Democratization." When not managing projects in QDAP or harvesting Arabic protest tweets in DiscoverText, Josh can be found strumming a ukulele, exploring Netflix, or swinging aimlessly at tennis balls.
View all posts by Josh Sowalsky →
This entry was posted in general and tagged analysis, analytics, BI, business intelligence, CSV, data, data analysis, data export, data import, export, exporting, GNIP, gnip powertrack, HR analysis, HR Analytics, Human Resource Analytics, live feeds, metadata, metadata analysis, network, organization, People Analytics, Public Comment Analysis, Qualitative, Qualitative Data Analysis, Regulations.gov, SMA, Social Media Analysis, Social Media Analytics, Text Analytics, topmeta, trend analysis, twitter, twitter analytics. Bookmark the permalink.
← “You Don’t Say”
Texifter @ #IHRIMconf →
  • http://tusfrasesypoemas.com/ Clark poemas

    Top Meta is same to tags ? like clouds

    • http://people.umass.edu/stu/ Stuart Shulman

      TopMeta is a tool for sorting and filtering by the most frequently occurring values in a particular metadata field. See the earlier post by Josh at:

      http://blog.texifter.com/index.php/2012/04/26/exporting-topmeta/

  • Pingback: Election Analytics Part I: Romney Trends in April | Texifter, LLC. Blog

  • Marcelo

    cant find the disk icon on my version… Are there any limitations (amount of data, kind of user plan) or some meta work and other don’t?

    • Marcelo

      ok, I understand this is just for enterprise users… Really a shame… :(

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