Big Data Analytics in Social media

Abstract

With the increase of data from social media, especially Twitter, the analysis of such data has become a field of study and research, and it is of great importance in many fields, including political, social, commercial . . . etc. In this way, sentiment analysis has become an important area for organizations resulting from the opinions of people expressed on Twitter, and in this research a lexicon based approach is used to perform sentiment analysis for a group of user opinions from Twitter about the 2022 FIFA World Cup, extracted from the Twitter interface using the Twitter API and also the real time extraction of hashtags related to this domain. This research also includes the use of big data tools, the analysis was done using the features of the python language libraries, designed for natural language processing. The results presented that social media in general, and Twitter in particular, can actually serve as a very useful source of data to point to better decisionmaking or derive strategic advice