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Doctoral theses

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Identifier

000424142

Title

Fine-grained sentiment analysis

Alternative Title

Λεπτομερής ανάλυση συναισθήματος

Author

Ποντίκη, Μαρία

Thesis advisor

Αναγνωστοπούλου Έλενα

Reviewer

Παπαγεωργίου Χάρης
Ανανιάδου Σοφία

Abstract

Sentiment Analysis constitutes a key data analytics tool in many contexts and domains, since it helps to automatically detect and analyze public opinions, emotions, attitudes, and needs in massive amounts of unstructured data using Natural Language Processing and Text Mining methods. The research activity of this PhD thesis focused on two types of opinionated user-generated content; evaluations expressed by customers about products and services and their aspects in particular domains of interest (restaurant and laptop reviews), and verbal attacks against predefined target groups of interest (e.g. refugees, immigrants) in the context of Computational Social Sciences, covering an industrial and a humanitarian use case of Sentiment Analysis, respectively. In this setting, this thesis presents: a) a principled unified knowledge representation framework and English benchmark datasets for Aspect Based Sentiment Analysis, and b) a linguistically inspired and data-driven framework for examining Verbal Aggression as an indicator of xenophobic attitudes in Greek Social Media.

Language

English

Subject

Aspect based sentinent analysis

Sentiment analysis

Verbal aggression

Ανάλυση συναισθημάτος

Ανάλυση συναισθημάτος βασισμένη σε χαρακτηριστικά οντοτήτων

Λεκτική επιθετικότητα

Ξενοφόβια

Issue date

2019-07-22