Machine Learning Approach for Text Classification in Cybercrime

2018 ◽  
Author(s):  
Swati Kumari ◽  
Zia Saquib ◽  
Sanjay Pawar
Keyword(s):  
Machine Learning ◽  
Text Classification ◽  
Learning Approach ◽  
Machine Learning Approach

A Two-Stage Machine learning approach for temporally-robust text classification

2017 ◽  
Vol 69 ◽  
pp. 40-58 ◽  
Author(s):  
Thiago Salles ◽  
Leonardo Rocha ◽  
Fernando Mourão ◽  
Marcos Gonçalves ◽  
Felipe Viegas ◽  
...  
Keyword(s):  
Machine Learning ◽  
Text Classification ◽  
Learning Approach ◽  
Two Stage ◽  
Machine Learning Approach

scholarly journals Comparative Study of Machine Learning Approach on Malay Translated Hadith Text Classification based on Sanad

2017 ◽  
Vol 135 ◽  
pp. 00066 ◽  
Author(s):  
Syuhairah Rahifah Mohammad Najib ◽  
Nurazzah Abd Rahman ◽  
Normaly Kamal Ismail ◽  
Nursyahidah Alias ◽  
Zulhilmi Mohamed Nor ◽  
...  
Keyword(s):  
Machine Learning ◽  
Comparative Study ◽  
Text Classification ◽  
Learning Approach ◽  
Machine Learning Approach

scholarly journals Machine Learning approach for Content Mining System

2021 ◽  
Vol 23 (06) ◽  
pp. 1569-1576
Author(s):  
Dr.A. Mekala ◽  
◽  
Dr.A. Prakash ◽  
Keyword(s):  
Machine Learning ◽  
Information Retrieval ◽  
Text Classification ◽  
Text Categorization ◽  
Learning Approach ◽  
Mining System ◽  
Text Documents ◽  
Categorization Task ◽  
Machine Learning Approach ◽  
Content Mining

Text Classification (TC), also known as Text Categorization, is the mission of robotically classifying a set of text documents into dissimilar categories from a predefined set. If a manuscript belongs to exactly one of the categories, it is a single-label categorization task; otherwise, it is a multi-label categorization task. TC uses several tools from Information Retrieval (IR) and Machine Learning (ML) and has received much consideration in the last years from both researchers in academia and manufacturing developers. In this paper, we first categorize the documents using KNN based machine learning approach and then return the most appropriate documents.

1552-P: Machine Learning Approach to Decision-Making for Initial Insulin Use in Japanese Patients with Type 2 Diabetes

Diabetes ◽  
2020 ◽  
Vol 69 (Supplement 1) ◽  
pp. 1552-P
Author(s):  
KAZUYA FUJIHARA ◽  
MAYUKO H. YAMADA ◽  
YASUHIRO MATSUBAYASHI ◽  
MASAHIKO YAMAMOTO ◽  
TOSHIHIRO IIZUKA ◽  
...  
Keyword(s):  
Machine Learning ◽  
Type 2 Diabetes ◽  
Decision Making ◽  
Japanese Patients ◽  
Learning Approach ◽  
Machine Learning Approach ◽  
Insulin Use
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