Twitter Analysis for Business Intelligence

  • Tariq Soussan
  • Marcello TrovatiEmail author
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1035)


The evolvement of social media has made it an important and valuable part of people’s daily life all over the world. Many businesses use social media in different ways that benefit their business, such as to advertise their products and services, and as a way of strengthening relationships. Institutes utilize social media to promote programs and courses to current and prospective students, to advertise important events such as career fairs and to interact with various institute members to provide them with up to date news and information regarding their wellbeing, health, security, comfort and satisfaction. Throughout this work, web mining and opinion mining will be applied to a general business Twitter account to explore the developing themes of discussions amongst businesses’ online communities. The account will be analysed through text mining, social network analysis and sentiment analysis. It is important to monitor what topics and words are trending in high volume on specific online twitter communities as the objective is to try to conclude the sentiments of the posts posted on the Twitter account.


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© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.School of ComputingEdge Hill UniversityOrmskirkUK

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