Text classification using graph mining-based feature extraction
نویسندگان
چکیده
منابع مشابه
Text Classification using Graph Mining-based Feature Extraction
A graph-based approach to document classification is described in this paper. The graph representation offers the advantage that it allows for a much more expressive document encoding than the more standard bag of words/phrases approach, and consequently gives an improved classification accuracy. Document sets are represented as graph sets to which a weighted graph mining algorithm is applied t...
متن کاملTopic Modeling and Classification of Cyberspace Papers Using Text Mining
The global cyberspace networks provide individuals with platforms to can interact, exchange ideas, share information, provide social support, conduct business, create artistic media, play games, engage in political discussions, and many more. The term cyberspace has become a conventional means to describe anything associated with the Internet and the diverse Internet culture. In fact, cyberspac...
متن کاملEXTRACTION-BASED TEXT SUMMARIZATION USING FUZZY ANALYSIS
Due to the explosive growth of the world-wide web, automatictext summarization has become an essential tool for web users. In this paperwe present a novel approach for creating text summaries. Using fuzzy logicand word-net, our model extracts the most relevant sentences from an originaldocument. The approach utilizes fuzzy measures and inference on theextracted textual information from the docu...
متن کاملFeature Extraction Using Single Variable Classifiers for Binary Text Classification
The most popular approach for document representation is the bag-of-words where terms are considered as features. In order to compute the values of these features, the term frequencies are generally scaled by a collection frequency factor to take into account the relative importance of different terms. The term frequencies can be considered as raw data about the input document. In this study, a...
متن کاملAbstract feature extraction for text classification
feature extraction for text classification Göksel BİRİCİK∗, Banu DİRİ, Ahmet Coşkun SÖNMEZ Department of Computer Engineering, Yıldız Technical University, Esenler, İstanbul-TURKEY e-mails: {goksel,banu,acsonmez}@ce.yildiz.edu.tr Received: 03.02.2011 Abstract Feature selection and extraction are frequently used solutions to overcome the curse of dimensionality in text classification problems. W...
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: Knowledge-Based Systems
سال: 2010
ISSN: 0950-7051
DOI: 10.1016/j.knosys.2009.11.010