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The module's purpose is to find and display to a community in real time the most interesting conversations and memes within the community as they emerge. Memetrackers seeks to emulate the functionality of successful commercial memetrackers such as Techmeme, Google News, Tailrank, and Megite. It will be an open-source implementation of memetracking technology that can be easily plugged into Drupal-based community sites.Installation - After unpacking the memetracker and machinelearningapi modules, download and install Python Numeric and Pycluster. - Python Numeric is a dependancy of Pycluster and must be installed first. Note, Python NumPy has replaced Python Numeric but Pycluster has not been upgraded to use NumPy. Numeric is still required. - Feedapi creates nodes from content it downloads from RSS feeds. Create a content type called "Feed Item". Then edit the node type "Feed", which is created by default when installing Feedapi. Under the Default Settings for "feed", change the Node type of feed items to the "Feed Item" node type you just created. Also select the options "Check for duplicates on all feeds" and "Refresh feed on creation." - Next add RSS feeds by creating a Feed node for each RSS feed. - Next navigate to homepage and click on the "Edit Feed List" tab. There select the feeds you just added to be part of your memetracker - Then click on the view tab to see your memes. Requirements: - Drupal 6.x - Drupal Machine Learning API module. - Drupal FeedAPI module.
| Requirements: |
No special requirements
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| Platforms: |
Windows, Mac, *nix, Mac OSX, Linux, PHP , BSD Solaris
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| Keyword: |
Create Memetracker, Display, Display Interesting Conversation, Drupal Meme, Memes, Memetracker |
| Users rating: |
0/10 |
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Windows Software
Albina Merfyn - I find this to be really easy to use. I can...
