Irony detection on Turkish microblog texts

Taşlıoğlu, Hande
Social media is the new trend for expressing personal ideas to other people. Since people are sharing real time messages about their opinions on diverse topics, there exists huge amount of raw data to analyze. Thus, manual classification of these data becomes impossible. Irony, as a simple definition, is creative use of language and attracts computer scientists’ attention lately. Automatic detection of irony on microblog texts is not a trivial task. Texts of microblogs can have limited number of characters, mostly include typing errors therefore traditional methods of opinion classification cannot be applied easily. Therefore, a preprocessing requirement is occurred. After preprocessing, some patterns and language specific features are extracted in order to detect irony. This study aims to automatically detect the irony in microblogs, i.e., informal short texts. Due to the morphological structure of Turkish, various methods are applied to increase the success and quality of classification.


Online event detection from streaming data
Şahin, Özlem Ceren; Karagöz, Pınar; Department of Computer Engineering (2018)
The purpose of this study is detecting events from social media in an online fashion where event is a happening that takes place at a certain time and place that attracts attention within a short period of time. By doing so, it is aimed to provide a system both accurate and efficient at the same time. The problem studied in this thesis is modeled as a stream processing problem and three alternative methods are proposed. The first event detection method is keyword-based and works with bursty keywords inside ...
Temiz, Orkun; Taşkaya Temizel, Tuğba; Department of Bioinformatics (2022-6-29)
Social media has become a prevalent platform for consuming and sharing information online. The vast amounts of information, shared easily and rapidly by social media, have increased the demand for fact-checking. Misinformation threatens not only the reputation of individuals and organizations but also society. When the COVID-19 pandemic broke out, the concerns around misinformation, which threatens public health and society, have significantly increased. In this thesis, a new zero-shot fact extraction and v...
Yüksel, Umutcan Sümeyye; Özdemir, Özlem; Department of Business Administration (2022-9)
Internet and social media have become integral to our lives, creating social media celebrities or influencer terms. This thesis explores social media influencers' effects on social media users. Perceived similarity by the user to the influencer, wishful identification by the user with the influencer, perceived credibility of the influencer, and parasocial identification between the user and the influencer are investigated. This thesis aims to contribute to the literature by simultaneously analyzing perceive...
Determining user types from twitter account contentand structure
Gürlek, Mesut; Toroslu, İsmail Hakkı; Department of Computer Engineering (2021-3-05)
People are using social media platforms more and more every day; hence, they are be-coming suitable for research studies by their rich content. Twitter is one of the biggestand most widely used social media platforms, and many studies focus on Twitter forsocial media research. In this thesis, we propose methodologies for determining usertypes of Twitter accounts by their metadata, content, and structure. Our first problemis classifying organization vs. individual account types using only metadata. After weg...
Usability in Local E-Government: Analysis of Turkish Metropolitan Municipality Facebook Pages
YILDIZ, METE; Ocak, Nihan; Yildirim, Caglar; Çağıltay, Kürşat; Babaoglu, Cenay (2016-01-01)
Social media use is on the rise throughout the world. Influenced by this trend, governments of all levels and sizes are establishing their social media (like Facebook) presence due to the communication and interaction capabilities that such a presence brings. This study examines and explains the social media presence of Turkish local governments from a usability perspective. Usability studies provide governments with important empirical data about the citizens'/users' view/perception of the efficiency, effe...
Citation Formats
H. Taşlıoğlu, “Irony detection on Turkish microblog texts,” M.S. - Master of Science, Middle East Technical University, 2014.