Arşiv ve Dokümantasyon Merkezi
Dijital Arşivi

Affect analysis of communication texts in Turkish language

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dc.contributor Graduate Program in Computer Engineering.
dc.contributor.advisor Salah, Albert Ali.
dc.contributor.author Oktay, Eda Aydın.
dc.date.accessioned 2023-03-16T10:02:16Z
dc.date.available 2023-03-16T10:02:16Z
dc.date.issued 2016.
dc.identifier.other CMPE 2016 O57
dc.identifier.uri http://digitalarchive.boun.edu.tr/handle/123456789/12309
dc.description.abstract As digital technologies expanded our range of online communication, textual a ect analysis become the focus of considerable interest in several disciplines. While many studies have been conducted in English language, there are only a few tools speci c for the Turkish language. One reason for that is the lack of lexical resources for a ect analysis and annotated corpora for an accurate evaluation. In this thesis, we develop an approach for continuous and dimensional a ect analysis of Turkish communications by combining several tools. We conduct experiments on various text corpora in Turkish including online multi-party chat records, psychotherapy records, Twitter data, movie reviews, and teachers' comments on high school students. Analyzing such texts brings challenges like non-standard word usage, grammatical irregularities, abbreviation usage, and spelling mistakes. We propose several pre-processing steps to deal with these. Then, we adapt an a ective word dictionary from English to Turkish, and by expanding it with synsets, obtain 15,200 words with annotations for valence, arousal, and dominance. We also employ a list of frequently used abbreviations, emoticons, interjections, modi ers (intensi ers and diminishers), and other linguistic indicators to capture the overall a ective state at the sentence level. We recruit and train annotators to obtain a ective ground truth speci cally for multi-party chat records. Our results show that the proposed system is useful, yet there is much room for improvement at di erent stages.
dc.format.extent 30 cm.
dc.publisher Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2016.
dc.subject.lcsh Natural language processing (Computer science)
dc.subject.lcsh Turkish language -- Texts.
dc.title Affect analysis of communication texts in Turkish language
dc.format.pages xiv, 91 leaves ;


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