MF Amasyali, T Yildirim - Proceedings of the IEEE 12th Signal …, 2004 - ieeexplore.ieee.org
To categorize the data reduces the access time. Nowadays, the Internet is one of the biggest data resources. However, most of the data on the Internet is written in natural language. To …
The problem of classification has been widely studied in the data mining, machine learning, database, and information retrieval communities with applications in a number of diverse …
Text classification research and practice has exploded in the past decade_ This work has been pursued under a variety of headings (text categorization, automated indexing …
Z Li, P Li, W Wei, H Liu, J He, T Liu, X Du - … 2009 Suzhou, China, April 2-4 …, 2009 - Springer
Nearly all text classification methods classify texts into predefined categories according to the terms appeared in texts. State-of-the-art of text classification prefer to simplely take a …
B Kaur, G Bathla - Int J Fut Revol Comput Sci Commun Eng, 2018 - academia.edu
Text classification is used to classify the document of similar types. Text classification can be also performed under supervision ie it is an supervised leaning technique Text classification …
U Singh, S Hasan - Int. J. Comput. Sci. Trends Technol, 2015 - academia.edu
The rapid growth of World Wide Web has rendered the document classification by humans infeasible which has given impetus to the techniques like Data mining, NLP and Machine …
V Srividhya, R Anitha - International journal of computer science and …, 2010 - sinhgad.edu
Evaluating Preprocessing Techniques in Text Categorization Page 1 International Journal of Computer Science and Application Issue 2010 ISSN 0974-0767 49 Evaluating Preprocessing …
With the rapid spread of the Internet and the increase in on-line information, the technology for automatically classifying huge amounts of diverse text information has come to play a …