Contents
- Introduction
- Contributors
- Use Case
- Action Items
- Time Line
- Data
- Resources and Links
Introduction
In January 2010, Ehren Foss of Prelude Interactive shared an update on his Social Actions Tuner project. The update led to a discussion about applying TF-IDF functionality to the Action Packs in order to more intelligently sort actions by cause area, geographic location, or theme. In non-technical terms, each action pack would 'learn' to display relevant actions on a cause area, geographic location, or theme based on the keywords contained in actions that have had a high number of click-throughs (and possibly RTs) in the past. On February 11, 2010, Social Actions convened an open call on the topic. This wiki page was setup in advance of the call to serve as an organizing tool for implementing the innovation.
Contributors
Technical Overview
- Filtering with Social Actions API only gets you so far
- Description of Social Actions Tuner
- Built on technology called LDA (latent _____ allocation): analyzes groups of text using the terms and their frequency and how they appear across all articles. Attempts to categorize data coming in.
- Used it to build a tool for someone who'd log into Social Actions Tuner, search by category/term/etc. Would vote results -- thumbs up if it was what you were looking for, thumbs down if not.
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Use Case
(notes)
Time Line
(notes)
Action Items
(notes)
Data
Social Actions API
- Title
- Description
- Action Source
- Action Type
- Hits
Social Actions API Click-Through Data
Twitter API
Resources and Links
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