Text classification using clustering techniques and PCA

M Kaur, M Bansal - … on Parallel, Distributed and Grid Computing …, 2016 - ieeexplore.ieee.org
Social websites are the main part of the 21st century. Also, most of the generation is
dependent on the social websites for communication. Social media is the stages where …

[PDF][PDF] A consistent web documents based text clustering using concept based mining model

VM Navaneethakumar, C Chandrasekar - International Journal of …, 2012 - Citeseer
Text mining is a growing innovative field that endeavors to collect significant information
from natural language processing term. It might be insecurely distinguished as the course of …

Improved Bayesian based method for classifying disease documents

H Al-Mubaid, M Shenify - 2016 World Symposium on Computer …, 2016 - ieeexplore.ieee.org
Naïve Bayes has been proved to be decently competitive learning and classification
approach in many fields and still been actively researched. We propose a Bayesian based …

[PDF][PDF] Concept extraction from ambiguous text document using k-means

MMR Rana, R Afrin, MA Rahman, A Haque… - … Research Journal of …, 2019 - academia.edu
Increasing development in web technologies have led to the massive generation of textual
data analyzing such quantities of text content and discovering the pattern from the text is a …

[PDF][PDF] Integrasi peringkas dokumen otomatis dengan algoritma latent semantic analysis (LSA) pada peringkas dokumen otomatis untuk proses clustering dokumen

A Luthfiarta, J Zeniarja, A Salam - Techno. COM, 2014 - academia.edu
Teknologi pengklasteran dokumen memiliki peran yang signifkan dalam kemajuan
teknologi informasi, diantaranya mempunyai peranan penting dalam pengembangan web di …

Using data mining in the manufacturing systems for CAD model analysis and classification

H Al-Mubaid, ES Abouel Nasr… - International Journal of …, 2008 - inderscienceonline.com
The applications of data mining in engineering and manufacturing are enormous and useful
for helping in the analysis of large data and information repositories for the discovery of …

[PDF][PDF] Integrating swarm intelligence and statistical data for feature selection in text categorization

MJ Meena, KR Chandran, JM Brinda - International Journal of Computer …, 2010 - Citeseer
Feature selection is the principal step in classification problems with attributes of high
dimension. It may also be considered as a problem to determine the subset of terms in …

Semantic Oppositeness for Inconsistency and Disagreement Detection in Natural Language

NHND de Silva - 2020 - search.proquest.com
Semantic oppositeness is the natural counterpart of the rather more popular natural
language processing concept, semantic similarity. Much like how semantic similarity is a …

A parallel algorithm for bayesian text classification based on noise elimination and dimension reduction in spark computing environment

Z Tang, W Xiao, B Lu, Y Zuo, Y Zhou, K Li - … Conference, Held as Part of the …, 2019 - Springer
Abstract The Naive Bayesian algorithm is one of the ten classical algorithms in data mining,
which is widely used as the basic theory for text classification. With the high-speed …

A high-quality digital library supporting computing education: The ensemble approach

Y Chen - 2017 - vtechworks.lib.vt.edu
Abstract Educational Digital Libraries (DLs) are complex information systems which are
designed to support individuals' information needs and information seeking behavior. To …