Yazar "Yıldız, Olcay Taner" için FBE - Tez Koleksiyonu | Bilgisayar Mühendisliği / Computer Engineering listeleme
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All-words word sense disambiguation in Turkish
Akçakaya, Sinan (Işık Üniversitesi, 2019-09-06)Word sense disambiguation (WSD) is the identi cation of the meaning of words in context in a computational manner. The main subject of this study is to implement and compare the WSD results of various supervised classi ers ... -
Big data storage and automated text summarization in Turkish text
Aysu, Erdinç (Işık Üniversitesi, 2018-06-19)The subject of this study is storing the large datasets in accordance with Big Data ecosystem and to extract the summary sentences of a text in Turkish, apply the automatic text summarization process which is a subtopic ... -
Cost sensitive learning algorithms
Köse, Gülay (Işık Üniversitesi, 2008)This thesis studies the cost sensitive learning algorithms that calculate the class learning algorithms errors and costs. Data mining is the automated extraction of hidden predictive information from databases that can be ... -
An hybrid approach to solve traveling salesman problem using genetic algorithm
Asmazoğlu, Cengiz (Işık Üniversitesi, 2014)TSP is a challenging and popular problem from combinatorial optimization. TSP is often tackled with well known heuristic genetic algorithm. Due to the nature of the TSP, traditional GA's stay poor when competing with other ... -
Improving search engine performance with context extraction using Lucene, DBPedia-Spotlight, and Wordnet
Düzağaç, Remzi (Işık Üniversitesi, 2014)Search engines are common tools which retrieve information from considerable amount of data according to the user needs. The data size that needs to be handled and retrieving relevant information, are the main problems of ... -
Learning to rank
Kılıç, Yasin Ozan (Işık Üniversitesi, 2011-04-28)The web has grown so rapidly in the last decade and it brought the need for proper ranking. Learning to rank (LTR) is the collection of machine learning technolo- gies that construct a ranking model using training data. ... -
Paragraph and sentence level semantic textual similarity measurement techniques: An application on solving OSYM exam questions
Açıkgöz, Onur (Işık Üniversitesi, 2019-09-06)An Application on Solving OSYM Exam Questions Semantic textual similarity is a well-known natural language processing (NLP) task which aims to measure the degree of similarity of two texts in terms of meanings. In this ... -
Searching for the optimal ordering of classes in rule induction
Ata, Sezin (Işık Üniversitesi, 2012-09-19)In this thesis, we work on rule induction algorithms, basically Ripper. These algorithms solve a K>2 class problem by transforming it into a sequence ok K-1 two class problems. As a heuristic, these algorithms learn classes ... -
Semantic role labeling for Turkish propbank
Esgel, Volkan (Işık Üniversitesi, 2019-09-06)People's communication with each other takes place through sentences that combine words with different purposes. Words can gain different meanings with the presence of other words in the sentences in which they take place. ... -
Unsupervised morphological analysis using tries
Ak, Koray (Işık Üniversitesi, 2011-04-29)Morphological analysis or decomposition studies the structure, formation, function of words, identifies the morphemes (smallest meaning-bearing elements) of the language and attempts to formulate rules that model the ... -
Word sense disambiguation, named entity recognition, and shallow parsing tasks for Turkish
Topsakal, Ozan (Işık Üniversitesi, 2019-04-02)People interactions are based on sentences. The process of understanding sentences is thru converging, parsing the words and making sense of words. The ultimate goal of Natural Language Processing is to understand the ...