Automatic Text Classification of ICD-10 Related CoD from Complex and Free Text Forensic Autopsy Reports

2016 ◽  
Author(s):  
Ghulam Mujtaba ◽  
Liyana Shuib ◽  
Ram Gopal Raj ◽  
Retnagowri Rajandram ◽  
Khairunisa Shaikh
Keyword(s):  
Text Classification ◽  
Forensic Autopsy ◽  
Free Text ◽  
Automatic Text Classification ◽  
Icd 10 ◽  
Automatic Text

scholarly journals FasTag: Automatic text classification of unstructured medical narratives

PLoS ONE ◽  
2020 ◽  
Vol 15 (6) ◽  
pp. e0234647 ◽  
Author(s):  
Guhan Ram Venkataraman ◽  
Arturo Lopez Pineda ◽  
Oliver J. Bear Don’t Walk IV ◽  
Ashley M. Zehnder ◽  
Sandeep Ayyar ◽  
...  
Keyword(s):  
Text Classification ◽  
Automatic Text Classification ◽  
Medical Narratives ◽  
Automatic Text

The VINITI RAS Automatic Text Classification System for Processing the Flow of Scientific Publications

2020 ◽  
Vol 54 (3) ◽  
pp. 113-123
Author(s):  
V. S. Egorov ◽  
E. S. Kozlova ◽  
K. E. Lomotin ◽  
O. V. Fedorets ◽  
A. V. Filimonov ◽  
...  
Keyword(s):  
Text Classification ◽  
Classification System ◽  
Scientific Publications ◽  
Automatic Text Classification ◽  
Viniti Ras ◽  
Automatic Text

scholarly journals Automated News Classification using N-gram Model and Key Features of Nepali Language

SCITECH Nepal ◽  
2018 ◽  
Vol 13 (1) ◽  
pp. 64-69
Author(s):  
Dinesh Dangol ◽  
Rupesh Dahi Shrestha ◽  
Arun Timalsina
Keyword(s):  
Text Classification ◽  
English Language ◽  
Promising Result ◽  
Text Processing ◽  
Automatic Text Classification ◽  
Key Features ◽  
Research Experiment ◽  
N Gram ◽  
Automated Text Processing ◽  
Automatic Text

With an increasing trend of publishing news online on website, automatic text processing becomes more and more important. Automatic text classification has been a focus of many researchers in different languages for decades. There is a huge amount of research repository on features of English language and their uses on automated text processing. This research implements Nepali language key features for automatic text classification of Nepali news. In particular, the study on impact of Nepali language based features, which are extremely different than English language is more challenging because of the higher level of complexity to be resolved. The research experiment using vector space model, n-gram model and key feature based processing specific to Nepali language shows promising result compared to bag-of-words model for the task of automated Nepali news classification.

scholarly journals Improving Automatic Text Classification by Integrated Feature Analysis

2008 ◽  
Vol E91-D (4) ◽  
pp. 1101-1109 ◽  
Author(s):  
L. S.P. BUSAGALA ◽  
W. OHYAMA ◽  
T. WAKABAYASHI ◽  
F. KIMURA
Keyword(s):  
Text Classification ◽  
Feature Analysis ◽  
Automatic Text Classification ◽  
Automatic Text
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