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Twitter Analysis for Business Intelligence

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Advances in Intelligent Networking and Collaborative Systems (INCoS 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1035))

Abstract

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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Authors and Affiliations

  1. School of Computing, Edge Hill University, Ormskirk, UK

    Tariq Soussan & Marcello Trovati

Authors
  1. Tariq Soussan
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  2. Marcello Trovati
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Corresponding author

Correspondence to Marcello Trovati .

Editor information

Editors and Affiliations

  1. Department of Information and Communication Engineering, Faculty of Information Engineering, Fukuoka Institute of Technology, Fukuoka, Japan

    Leonard Barolli

  2. Division of Computer Science and Intelligent Systems, Faculty of Science and Technology, Oita University, Oita, Japan

    Hiroaki Nishino

  3. School of Science and Technology, Kwansei Gakuin University, Sanda, Japan

    Hiroyoshi Miwa

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Soussan, T., Trovati, M. (2020). Twitter Analysis for Business Intelligence. In: Barolli, L., Nishino, H., Miwa, H. (eds) Advances in Intelligent Networking and Collaborative Systems. INCoS 2019. Advances in Intelligent Systems and Computing, vol 1035. Springer, Cham. https://doi.org/10.1007/978-3-030-29035-1_46

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