Text categorization methods for automatic estimation of verbal intelligence
نویسندگان
چکیده
منابع مشابه
Text categorization methods for automatic estimation of verbal intelligence
In this paper we investigate whether conventional text categorization methods may suffice to infer different verbal intelligence levels. This research goal relies on the hypothesis that the vocabulary that speakers make use of reflects their verbal intelligence levels. Automatic verbal intelligence estimation of users in a spoken language dialog system may be useful when defining an optimal dia...
متن کاملAutomatic estimation of users' verbal intelligence
Words Abstract words are words or concepts that cannot be grasped by the human senses and that do not provoke a corresponding image in the mind. In the German language, abstract words may be constructed from adjectives and verbs with an emotional tone, for example ärgern Ärger (to make angry anger), hassen Hass (to hate hatred), blöd Blödheit (foolish foolishness), dumm Dummheit (stupidly stupi...
متن کاملText Representation for Automatic Text Categorization
Automatic Text Categorization (ATC), the automatic assignment of text documents to predefined classes, is a language engineering task very relevant to a number of applications, including automatic content and knowledge management in corporations and the Internet, information access and filtering, etc. With first works dating back to 60’s [14], and increased work in the last decade (see the surv...
متن کاملAutomatic Text Categorization and Its Applicationto Text
We develop an automatic text categorization approach and investigate its application to text retrieval. The categorization approach is derived from a combination of a learning paradigm known as instancebased learning and an advanced document retrieval technique known as retrieval feedback. We demonstrate the e ectiveness of our categorization approach using two real-world document collections f...
متن کاملAutomatic Text Categorization: Case Study
Text Categorization is a process of classifying documents with regard to a group of one or more existent categories [1] according to themes or concepts present in their contents. The most common application of it is in Information Retrieval Systems (IRS) to document indexing [2]. The organization of text in categories allow the user to limit the target of a search submitted to IRS, to explore t...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Expert Systems with Applications
سال: 2012
ISSN: 0957-4174
DOI: 10.1016/j.eswa.2012.02.173