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Exploration of Competitive Market Behavior Using Near-Real-Time Sentiment Analysis: Magisterarbeit - Softcover

Peitek, Norman

 
9783656868699: Exploration of Competitive Market Behavior Using Near-Real-Time Sentiment Analysis: Magisterarbeit
Softcover
ISBN 10: 3656868697 ISBN 13: 9783656868699
Verlag: GRIN Verlag, 2015

Inhaltsangabe

Master's Thesis from the year 2014 in the subject Computer Science - Commercial Information Technology, grade: 1.1, Otto-von-Guericke-University Magdeburg (Faculty of Computer Science), language: English, abstract: Emotions are not only the foundation of human life, but also influence all decisions in modern markets. Grasping the reasoning behind our choices is a key element in econom-ic sciences. Sentiment analysis, a tool to extract emotions from text, is used in this thesis to analyze customers' opinions in various markets. The calculations are done on a server architecture that is designed to be scalable for massive input directly from social net-works. It computes the sentiment score in a flexible multi-stage process and provides several methods of accessing the results. Subsequently, it is demonstrated how to use the system's capabilities by implementing various commercial use cases. This includes geographical and demographic analysis. Additionally, the system is able to provide near-real-time results. Lastly, the thesis concludes by performing several correlation analyses on the collected data. This illustrates how the intensity of emotions vary by the maturity and form of the economic market and affects the participating companies in these markets.

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Master's Thesis from the year 2014 in the subject Computer Science - Commercial Information Technology, grade: 1.1, Otto-von-Guericke-University Magdeburg (Faculty of Computer Science), language: English, abstract: Emotions are not only the foundation of human life, but also influence all decisions in modern markets. Grasping the reasoning behind our choices is a key element in econom-ic sciences. Sentiment analysis, a tool to extract emotions from text, is used in this thesis to analyze customers¿ opinions in various markets. The calculations are done on a server architecture that is designed to be scalable for massive input directly from social net-works. It computes the sentiment score in a flexible multi-stage process and provides several methods of accessing the results. Subsequently, it is demonstrated how to use the system¿s capabilities by implementing various commercial use cases. This includes geographical and demographic analysis. Additionally, the system is able to provide near-real-time results. Lastly, the thesis concludes by performing several correlation analyses on the collected data. This illustrates how the intensity of emotions vary by the maturity and form of the economic market and affects the participating companies in these markets.

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Verlag
GRIN Verlag
Erscheinungsdatum
2015
Sprache
Englisch
ISBN 10 
3656868697
ISBN 13 
9783656868699
Einband
Taschenbuch
Auflage
4
Anzahl der Seiten
116
Kontakt zum Hersteller
GRIN Publishing GmbH
info@grin.com

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