TY - GEN
T1 - A Case Study to Analyze the Impact of Social Media on Video Game Sales
AU - Malvankar, Kshitij
AU - Fallon, Enda
AU - Connolly, Paul
AU - Flanagan, Kieran
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - Social media data is becoming more and more valuable in analyzing patterns in human behavior as a result of the ongoing expansion of online engagement. Twitter is a great place to find current user-generated data. Anyone can utilize this platform to contribute their own ideas, opinions, or feedback on a variety of issues through Tweets. These topics might come from a variety of industries, including business, politics, and entertainment. On average, 6,000 tweets are uploaded on Twitter every second, for a daily total of over 500 million messages. Understanding the causes and impacts of social, environmental, or financial events can be made much easier by the amount of publicly available information. The data is incredibly beneficial for retailers for market research and sales forecasting when paired with cutting-edge data analysis and Artificial Intelligence (AI) solutions. The proposed study examine the sentiments and statistics that have been submitted by users on the Twitter platform in order to determine whether 'Social Media Influencing' has any effect on the video game business.
AB - Social media data is becoming more and more valuable in analyzing patterns in human behavior as a result of the ongoing expansion of online engagement. Twitter is a great place to find current user-generated data. Anyone can utilize this platform to contribute their own ideas, opinions, or feedback on a variety of issues through Tweets. These topics might come from a variety of industries, including business, politics, and entertainment. On average, 6,000 tweets are uploaded on Twitter every second, for a daily total of over 500 million messages. Understanding the causes and impacts of social, environmental, or financial events can be made much easier by the amount of publicly available information. The data is incredibly beneficial for retailers for market research and sales forecasting when paired with cutting-edge data analysis and Artificial Intelligence (AI) solutions. The proposed study examine the sentiments and statistics that have been submitted by users on the Twitter platform in order to determine whether 'Social Media Influencing' has any effect on the video game business.
KW - Data Analysis
KW - Sentiment Analysis
KW - Social Media
KW - Twitter
UR - http://www.scopus.com/inward/record.url?scp=85152204999&partnerID=8YFLogxK
U2 - 10.1109/ICCT56969.2023.10076200
DO - 10.1109/ICCT56969.2023.10076200
M3 - Conference contribution
AN - SCOPUS:85152204999
SN - 9781665453578
T3 - 2023 3rd International Conference on Intelligent Communication and Computational Techniques, ICCT 2023
BT - 2023 3rd International Conference on Intelligent Communication and Computational Techniques, ICCT 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 3rd International Conference on Intelligent Communication and Computational Techniques, ICCT 2023
Y2 - 19 January 2023 through 20 January 2023
ER -