TY - GEN
T1 - Twitter analysis for business intelligence
AU - Soussan, Tariq
AU - Trovati, Marcello
PY - 2020
Y1 - 2020
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85071487617&partnerID=8YFLogxK
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U2 - 10.1007/978-3-030-29035-1_46
DO - 10.1007/978-3-030-29035-1_46
M3 - Conference proceeding (ISBN)
AN - SCOPUS:85071487617
SN - 9783030290344
T3 - Advances in Intelligent Systems and Computing
SP - 473
EP - 480
BT - Advances in Intelligent Networking and Collaborative Systems - The 11th International Conference on Intelligent Networking and Collaborative Systems, INCoS 2019
A2 - Barolli, Leonard
A2 - Nishino, Hiroaki
A2 - Miwa, Hiroyoshi
PB - Springer Verlag
T2 - 11th International Conference on Intelligent Networking and Collaborative Systems, INCoS 2019
Y2 - 5 September 2019 through 7 September 2019
ER -