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dc.contributor.author
Tsiara, Eleana
en
dc.date.accessioned
2019-04-19T12:23:16Z
dc.date.available
2019-04-20T00:00:21Z
dc.date.issued
2019-04-19
dc.identifier.uri
https://repository.ihu.edu.gr//xmlui/handle/11544/29405
dc.rights
Default License
dc.subject
Social media
en
dc.subject
Analytics
en
dc.title
Forecasting with Predictive Social Media Analytics
en
heal.type
masterThesis
en_US
heal.language
en
en_US
heal.access
free
en_US
heal.license
http://creativecommons.org/licenses/by-nc/4.0
en_US
heal.recordProvider
School of Science and Technology, MSc in Information & Communication Technology Systems
en_US
heal.publicationDate
2018-12
heal.abstract
With the advent of social media concepts such as forecasting and nowcasting became part of the public debate. Past successes include predicting election results, share price movement in the stock market and forecasting many other events or behaviors. This project aims at using social media data, and specifically data from Twitter that are related the songs and artists that currently appear on the highest 10 ranks of the Billboard Hot 100 chart, perform sentiment analysis on the collected tweets, classify them as positive or negative and finally utilize this information to generate predictions about the chart of the following weeks. In more detail, the goal is to investigate the relation between the number of mentions of a song and its artist, as well as the semantic orientation of the relevant posts and the performance of the song on the next chart. Firstly, the problem was approximated through regression analysis, which estimated the difference between the actual and predicted positions and yielded moderate results. Secondly, the task was specialized into providing forecasts for some ranges of the chart, namely, for the top 5, 10 and 20 positions of the chart. According to the values of accuracy and Fscore metrics and compared to previous research, the findings can be deemed as satisfactory, especially for the predictions of the top 20 hits.
en
heal.advisorName
Tjortjis, Christos
en
heal.committeeMemberName
Berberidis, Christos
en
heal.academicPublisher
IHU
en
heal.academicPublisherID
ihu
en_US


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