Günümüzde yaygınlaşan internet ve sosyal medya kullanımının artmasıyla ortaya çıkan
büyük verinin, analiz edilerek anlamlı bilgiye dönüştürülmesi oldukça büyük bir öneme …

The results reported in this paper aim to increase the presence of the Uzbek language in the
Internet and its usability within IT applications. We describe the initial development of a …

This paper presents a hybrid methodology for Turkish sentiment analysis, which combines
the lexicon-based and machine learning (ML)-based approaches. On the lexicon-based …

This paper presents a comprehensive survey of corpora and lexical resources available for
Turkish. We review a broad range of resources, focusing on the ones that are publicly …

Currently, there are two available wordnets for Turkish: TR-wordnet of BalkaNet and KeNet.
As the more comprehensive wordnet for Turkish, KeNet includes 76,757 synsets. KeNet has …

In this paper, we present AnlamVer, which is a semantic model evaluation dataset for
Turkish designed to evaluate word similarity and word relatedness tasks while …

In this paper, we present and explain TRopBank “Turkish PropBank v2. 0”. PropBank is a
hand-annotated corpus of propositions which is used to obtain the predicate-argument …

Abstract FrameNet (Lowe, 1997; Baker et al., 1998; Fillmore and Atkins, 1998; Johnson et
al., 2001) is a computational lexicography project that aims to offer insight into the semantic …

In this paper, we introduce a novel approach of forming interlingual relations between
multilingual wordnets. We have mapped Turkish senses in KeNet with their corresponding …

Dictionary-based methods in sentiment analysis have received scholarly attention recently,
the most comprehensive examples of which can be found in English. However, many other …