scholarly journals Improving Text Preprocessing For Student Complaint Document Classification Using Sastrawi

Author(s):  
Mochamad Alfan Rosid ◽  
Arif Senja Fitrani ◽  
Ika Ratna Indra Astutik ◽  
Nasrudin Iqrok Mulloh ◽  
Haris Ahmad Gozali
Author(s):  
NEERAJ SAHU ◽  
D. S. RAJPUT ◽  
R. S. THAKUR ◽  
G. S. THAKUR

This paper presents Clustering Based Document classification and analysis of data. The proposed Clustering Based classification and analysis of data approach is based on Unsupervised and Supervised Document Classification. In this paper Unsupervised Document and Supervised Document Classification are used. In this approach Document collection, Text Preprocessing, Feature Selection, Indexing, Clustering Process and Results Analysis steps are used. Twenty News group data sets [20] are used in the Experiments. For experimental results analysis evaluated using the Analytical SAS 9.0 Software is used. The Experimental Results show the proposed approach out performs.


2011 ◽  
Vol 131 (8) ◽  
pp. 1459-1466
Author(s):  
Yasunari Maeda ◽  
Hideki Yoshida ◽  
Masakiyo Suzuki ◽  
Toshiyasu Matsushima

2021 ◽  
Vol 212 ◽  
pp. 106597
Author(s):  
Wenlong Fu ◽  
Bing Xue ◽  
Xiaoying Gao ◽  
Mengjie Zhang

2019 ◽  
Vol 56 (5) ◽  
pp. 1618-1632 ◽  
Author(s):  
Zenun Kastrati ◽  
Ali Shariq Imran ◽  
Sule Yildirim Yayilgan

2020 ◽  
Vol 50 (12) ◽  
pp. 4602-4615
Author(s):  
Wei Wang ◽  
Bing Guo ◽  
Yan Shen ◽  
Han Yang ◽  
Yaosen Chen ◽  
...  

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