Mining Social Media data Using Naive Bayes algorithm to find popular Iraqi problems


Person’s comments on social media sites such as Facebook could be useful into determine their real problems and how to process these problems. Data from such sites environments can provide valuable knowledge to inform about the problems. Analyzing data of social media was bigchallenge. In this paper we take a Facebook posts and comments and applying mining algorithm to analyze unstructured text content on Facebook official site “Government of Iraq” as one of the most popular official sites for Iraqi government that followed by many peoples by taken the posts between 1 and 31 October in year 2018 and analyze text comment and classify the important problems posted on it using Naive Bayes Algorithm then describe the challenges we face through applying the method and the results and how can we benefit from it in the real world. This work, show how social media comments can provide insights into the society problems.