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Deep Neural Networks For Named Entity Recognition On Social Media
(Fen Bilimleri Enstitüsü, 2018)
Named entity recognition (NER) on noisy data, specifically user-generated content (e.g. on-
line reviews, tweets) is a challenging task because of the presence of ill-formed text. In this
regard, while studies on ...
An Rnn-Based Approach for Dıscoverıng Inconsıstencıes Between Permıssıons and Metadata In Androıd Applıcatıons
(Fen Bilimleri Enstitüsü, 2019-09)
Since mobile devices are increasingly on hand today, users have become more heavily involved with their use in accessing the Internet. Today, most mobile devices use the Android operating system. On mobile devices, users' ...
Turkish Video Captioning with Msvd-Turkish Dataset
(Fen Bilimleri Enstitüsü, 2020)
The problem of video captioning can be defined as describing a video content by using natural language in a way that a person can identify the video by performing information extraction from the given videos. Video captioning ...
Towards Understandıng Intuıtıve Physıcs Wıth Language And Vısıon
(Fen Bilimleri Enstitüsü, 2021)
Visual question answering (VQA) is one of the difficult tasks in multimodal machine reasoning. VQA requires machines to provide correct answers to questions about an image or a video. Here, the machine should perceive the ...
A Plagiarism Detection System Based on POS Tag N-Grams
(Fen Bilimleri Enstitüsü, 2022)
It is a common problem to find similar parts in two different documents or texts. Especially, a text suspected of plagiarism is likely to have similar characteristics with the source text. Plagiarism is defined as taking ...
Developing A Turkish Sentiment Lexicon Using Tone Distributions
(Fen Bilimleri Enstitüsü, 2022)
With the developing technology and increasing use of the internet, many sources of data have been exposed to researchers. Analysis and extraction of meaningful information from this data is a research topic under the field ...
Tales of Turbulence: BERT-Based Multimodal Analysis of FED Communication Dynamics Amidst COVID-19 through FOMC Minutes
(Fen Bilimleri Enstitüsü, 2023-09)
Although communication of the central banks with the market was still quite limited at the end of the 20th century, and the authorities had agreed that policymakers should hold a more secretive attitude, this situation ...