Öztürk, Alican

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https://gcris.yasar.edu.tr/handle/123456789/12704
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Araş.Gör.
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01.01.09.01. Bilgisayar Mühendisliği Bölümü
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    Master Thesis
    Akademik makaleler için yarı otomatik döküman sınıflandırma ve kod organizasyon sistemi
    (2015) Öztürk, Alican; Albayrak, Raif Serkan; Karabulut, Korhan
    In this thesis, the aim is to use the locally entered 'codes' (keywords in the document) to determine what the users' associated topic with that document corresponds to via WordNet's connections, synsets and hypernyms. WordNet has a neatly arranged structure that not only includes meaning for each sense of the word but also all the other words associated with it, in forms of hyponyms, hypernyms, synonyms, holonyms and meronyms. All of these words are connected in a network structure with appropriate links in between. By using the distance between the words to calculate the similarities between each pair of words inside a code cluster and enriching them with the hypernyms of high value nodes, it is possible to obtain a list of possible words that can be associated as topic keywords for the document itself. Since the codes entered into the system differ by the users' preferences and point of view on the document, it is highly possible for two instances to have completely different topics derived from the same document. The purpose of this is to personalize the topic according to the users' interest in the document instead of the presenting a generic topic about it. The project uses the Java library JWS to find the similarity between words and RitaWordNet from RitaCore to extract meanings and hypernyms of the words to select proper senses.