Digital and Data Mining Approaches for Evaluating Water Pollution

The importance of digital and social media data for evaluating water pollution cannot be overemphasied. It enables the water pollution forecasts, hence the quality of data of information gathered from social media platforms must be maintained, especially for desert regions with intermittent but heavy rainfall and a significant risk of polluted areas. This study explored the digital and data mining, and social media data mining to evaluate water pollution. It was revealed that earlier studies concentrated more on creating a framework for social media activity in water pollution, especially in places that flood. This study examines reports and records of water pollution from a variety of social media sites, including YouTube, Flickr, Facebook, Instagram, and Twitter, for the first time. It verified data on water pollution from social media. Based on the results of many machine learning classifiers, social media data was validated to predict and evaluate water pollution.

Keywords: Data Mining, Digital Data Mining, Social Media Data Mining, Water Pollution.