Automatic text classification of English newswire articles based on statistical classification techniques

2005 ◽  
Vol 152 (1) ◽  
pp. 50-60
Author(s):  
Guowei Zu ◽  
Wataru Ohyama ◽  
Tetsushi Wakabayashi ◽  
Fumitaka Kimura
Keyword(s):  
Text Classification ◽  
Statistical Classification ◽  
Classification Techniques ◽  
Automatic Text Classification ◽  
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

scholarly journals Analysis of supervised classification techniques

2017 ◽  
Vol 7 (1.1) ◽  
pp. 283 ◽  
Author(s):  
P. Lakhmi Prasanna ◽  
D. Rajeswara Rao ◽  
Y. Meghana ◽  
K. Maithri ◽  
T. Dhinesh
Keyword(s):  
Text Classification ◽  
Supervised Classification ◽  
Classification Techniques ◽  
Digital Documents ◽  
Classification Technique ◽  
Learning Techniques ◽  
Automatic Text Classification ◽  
Supervised Methods ◽  
Artificial Neural Network Ann ◽  
Automatic Text

As the number of digital documents and data are being increased rapidly, it is important to classify them in to respective categories. This process of classifying the data is called classification. There are three ways in to which the data can be classified un supervised, supervised and semi supervised methods. Automatic Text Classification is done by supervised learning techniques. This paper discusses about various classification techniques, their advantages and limitations. Finally, it concludes with the best classification technique. In this paper the best classification technique that was proposed is Artificial Neural Network (ANN). The reason for proposing ANN as the best algorithm is given and its application in various important fields was given.

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.

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