This is a technical post. The purpose is to test topic modeling techniques with Python on arabic texts in order to grasp the efficiency of the approach used in my previous work (NASDAG.org) on a different langage.
The same code may be applied as is to any "brand" by changing the keywords searched when querying the Twitter API.
My approach is the following:
Follow this link in order to learn more about this approach. You can also contact me for further explanation if you are interested in applying this approach to your own brand by analyzing a massive amount of Arabic text...