Source code of Microblog Semantic Topic Identification prototype is published

Our previous study extracts human readable topics given a set of microblog posts. Based on the idea of identifying the topics of a crowd of microblog users, we have recently came up with semantically representing microblog topics for machine consumption. Source code of the prototype is published. To install topic identification approach in a linux machine follow the following steps.

• Install R
• Make sure that Rscript is running
• Install php-cli (Php command line interface) version>5
• Make sure that php-curl is installed
• Make sure that shell_exec is working in PHP-cli
• Obtain a TagMe API key
• Download the SBounTI package and extract it in an empty directory
• Edit cfg/config.php according to need (such as base urls of resources that will be produced and the TagMe API key)
• Obtain a microblog post dataset about 5 thousand posts, either
  • in a file format of short texts in each line
  • or in a raw file retrieved from Twitter streaming API
• Issue command:
  • ./sbounti <filename> "<dataset_name>" "<start_date>" "<end_date>"
    for the text file
  • ./sbounti <filename> "<dataset_name>"
    for the raw Twitter streaming API file
  Where <filename> is the file name of the file that has short messages, <dataset_name> that is used in the explanations of the resources expressed in OWL, <start_date> and <end_date> are valid start and end date-times of the post set in the format as in example: Wed Sep 21 11:01:56 +0300 2016.
• The produced OWL file contents are written to STDOUT. So, you may want to redirect the output to a file using "> filename.owl" at the end of the command.
• If you have questions please contact Ahmet Yildirim