A Survey of Big Data Techniques for Extracting Information from Social Media Data
Carla Blank, Matthew McBurney, Maria Morgan, Raed I. Seetan · Advances in Science Technology and Engineering Systems Journal · 2021
Data mined from social media can be used in a variety of methods.The goal of this paper is to explore some of the various methods of mining data from social media and the different areas of its applications.From the analysis of other studies, it was clear that methods such as text analysis, classification, clustering, mapping, testing/validity methods, regression, and research methods were the overarching themes of the previously done research.Pros, cons, and possible extensions were examined for the current research evaluated in the social media data mining area.At the conclusion of this survey, our research team found that text analysis, sentiment analysis, and support vector machine classifiers were among the most common themes of the research methods in this field.In most cases, multiple methods were attempted for each topic to be able to cross compare results.