ADS-Classif: A Robust Tool for Classifying Documents from Diverse Sources Using Weighted Domain-Specific Vocabulary-Reference-Cited by-同舟云学术

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ADS-Classif: A Robust Tool for Classifying Documents from Diverse Sources Using Weighted Domain-Specific Vocabulary

Published:2023-02-19 Issue: Volume: Page:1-7
ISSN:0377-2063
Container-title:IETE Journal of Research
language:en
Short-container-title:IETE Journal of Research

Author:

Kalra Vandana¹^ORCID,Kashyap Indu²^ORCID,Kaur Harmeet³^ORCID

Affiliation:

1. Sri Guru Gobind Singh College of Commerce, University of Delhi, Delhi, India

2. Manav Rachna International Institute of Research and Studies, Faridabad, Haryana, India

3. Department of Computer Science, Hansraj College, University of Delhi, Delhi, India

Publisher

Informa UK Limited

Subject

Electrical and Electronic Engineering,Computer Science Applications,Theoretical Computer Science

Link

https://www.tandfonline.com/doi/pdf/10.1080/03772063.2023.2177757

Reference19 articles.

1. Survey on supervised machine learning techniques for automatic text classification

2. Machine learning in automated text categorization

3. Generation of domain-specific vocabulary set and classification of documents: weight-inclusion approach

4. A Supervised Method to Enhance Vocabulary with the Creation of Domain Specific Lexica

5. Creating Collections of Descriptors of Events and Processes Based on Internet Queries

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