Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 5 of 5 for “"stance detection"”.
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Cross Target Generalization for Stance Detection
Stance detection is a popular NLP task which consists in automatically inferring the opinion expressed in a text with respect to a given target. Cross-target generalization is a known problem in stance detection, where systems tend to perform poorly when exposed to targets unseen during training. …
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Combating fake news with adversarial domain adaptation and neural models
… an input claim with respect to its veracity, and stance detection which involves determining the perspective of a document with respect to a claim. For the fact checking task, we present Bidirectional Long Short Term Memory (Bi-LSTM) and Convolutional Neural Network (CNN) based models and conduct …
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Content and Stylistic Models for Authorship, Stance, and Hyperpartisan Detection
… identification, express their opinion via stance detection, and articulate news while belonging to the left or right political party using hyperpartisan news detection. In the first problem, this research studies the case of deception detection in online reviews. It compares the …
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Methods for Extracting and Analyzing Political Content on TikTok
… remains essential for more nuanced tasks such as stance detection and evaluation of persuasive effect. This exploration into the political landscape of TikTok represents one of the first of its kind, with the primary aim of this thesis being to develop a methodology that will support future …
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Representation and learning schemes for argument stance mining.
… a larger scale. In this thesis we study argument stance detection, one of the steps involved in the argument mining workflow. We demonstrate how we can use data of varying reliability in order to mine argument stance in social media data. We investigate a spectrum of techniques, from completely …