Κατεύθυνση Ψηφιακά Μέσα Επικοινωνίας και Περιβάλλοντα Αλληλεπίδρασης
Library of the Faculties of Political Science and Public Administration, Communication and Mass Media Studies, Turkish and Modern Asian Studies, Sociology

2018-08-01

2018

Ioannou Thaleia-Fereniki

Κωνσταντίνος Μουρλάς, Αναπληρωτής Καθηγητής, Τμήμα Επικοινωνίας και Μέσων Μαζικής Ενημέρωσης, ΕΚΠΑ

Ανάλυση συναισθήματος σε reviews και δεδομένα του twitter. Οι περιπτώσεις του booking και της. Airbnb

Greek

Sentiment analysis on reviews and twitter data. Case studies: Airbnb, Booking

The main aim of the present thesis, which is a part of a broader attempt, is to quantify the subjective sentiments as they are mentioned in reviews in the Airbnb platform. In addition, the description of types of technology and methodology for opinion mining and sentiment analysis within the social media context and more specifically in Twitter and in reviews. We will attempt to produce specific measurements and conclusions by exploring the ways the concepts that we described above are applied within the context of social media marketing. We will mainly study the extent to which social media affect the branding of enterprises such as Airbnb and Booking, and then we will examine word by word various reviews and tweets, by analyzing every aspect and deducing the sentiment in a quantified figure. Finally, a comparison will be made between the two brandings (Airbnb & Booking) to find out who has the largest number of mentions on Twitter during this study

 

Social, Political and Economic sciences

Technology - Computer science

Sentiment analysis, opinion mining, Twitter, social networks, sentiment lexicon, Machine Learning, Sentiment Analysis, Sentiment Detection, Aspect Based Sentiment Analysis.

No

0

Yes

64

101

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https://pergamos.lib.uoa.gr/uoa/dl/object/2779465