Αναλυτική δεδομένων για την ανάλυση κοινωνικής συμπεριφοράς
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Keywords
Sentiment analysis ; Topic model ; Graph analysis ; Community extractionAbstract
As part of this study and through the development of big data management tools, public posts are exported and stored from the electronic platform of Twitter
as well as the analysis of them with different approaching methods for the study of social networks. The implementation tries to highlight the combination
of different open source technologies and the flexibility they provide for supporting operations with large volumes of data ,algorithms and methods.
The applied methods are related to the processing and analysis of the exportable text with ‘Natural Language Processing’ and graph theories for discovering
points of interest and communities. In a rellational approach, this study focuses on a relational way of linking 'Content Related' and 'Relation Related'
analytics in order to point out the different ways of approaching data mining in complex social networks. In a more general form, without focusing in depth
on the object of analysis, provides a abstract picture of both the in each analysis as well as for the relationship of the models and their results.