Text Mining: Use of TF-IDF to Examine the Relevance of Words to Documents-Reference-Cited by-同舟云学术

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Text Mining: Use of TF-IDF to Examine the Relevance of Words to Documents

Published:2018-07-16 Issue:1 Volume:181 Page:25-29
ISSN:0975-8887
Container-title:International Journal of Computer Applications
language:
Short-container-title:IJCA

Author:

Qaiser Shahzad,Ali Ramsha

Publisher

Foundation of Computer Science

Subject

General Earth and Planetary Sciences,General Environmental Science

Cited by 360 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. CLASSIFICATION OF CUSTOMER SENTIMENTS BASED ON ONLINE REVIEWS: COMPARATIVE ANALYSIS OF MACHINE LEARNING AND DEEP LEARNING ALGORITHMS;Kahramanmaraş Sütçü İmam Üniversitesi Mühendislik Bilimleri Dergisi;2024-09-03

2. Mixture conditional regression with ultrahigh dimensional text data for estimating extralegal factor effects;The Annals of Applied Statistics;2024-09-01

3. Towards an automated classification phase in the software maintenance process using decision tree;PeerJ Computer Science;2024-08-30

4. Discourse Analysis of Mission Statements of Slovenian Enterprises;ELOPE: English Language Overseas Perspectives and Enquiries;2024-08-22

5. An artificial intelligence approach for interpreting creative combinational designs;Journal of Engineering Design;2024-07-11

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