tgangwani / Insight-data-challenge

Insight Data Challenge 2016

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Insight-data-challenge

Insight Data Challenge 2016

  1. Code Structure -The main executable is a python3 script (parseTweets.py). It is used to parse and clean the tweets. The tweets are then passed to a C++ module (orm) which builds the hashtag graph and returns the average vertex degree back to python for each input tweet. -C++ and Python are linked using boost::python. The C++ source is compiled to a shared library which is then included in python as a module. -Boost is also used to implement the hashtag graph.

  2. Dependencies -The code was tested with python3. The makefile needs to have the relevant paths in $include and $lib -The code was tested with boost-version-1.59. The makefile needs to have the relevant paths in $include and $lib

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Insight Data Challenge 2016


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Language:C++ 67.4%Language:Shell 19.3%Language:Python 9.4%Language:Makefile 3.9%