Automatic Categorization of ottoman Poems

Automatic Categorization of Ottoman Poems

Authorship attribution and identifying time period of literary works are fundamental problems in quantitative analysis of languages. We investigate two fundamentally different machine learning text categorization methods, Support Vector Machines (SVM) and Naïve Bayes (NB), and several style markers in the categorization of Ottoman poems according to their poets and time periods. We use the coll...

Automatic Categorization of Software Modules

The world of software has demonstrated the remarkable appeal of communal software development. Large number of software projects can leverage, reuse, and coordinate their work through internet and web-based technology. For example, Source-Forge currently hosts about sixty thousand software systems, similar strategies have suggested for corporate software development. With thousands of projects,...

Automatic Categorization of Fanatic Texts

This paper presents a task of automatic categorization of fanatic texts. The analyzed set of texts stems from an Arabic environment in Kuwait, where teachers and students were asked questions regarding various terrorist tendencies. The responses were classified by a domain expert into one of three classes with respect to degree of fanaticism of their content. The main task was to develop an aut...

Automatic Categorization of Spatial Prepositions

Learning spatial prepositions is an important problem in spatial cognition. We describe a model for learning how to classify visual scenes according to what spatial preposition they depict. We use SEQL, an existing model of analogical generalization, to construct relational descriptions from stimuli input as hand-drawn sketches. We show that this model can distinguish between in, on, above, bel...

Mystic Poems, Poems of Enlightment