Exploring Pre-processing Strategies and Feature Extraction in practical aspect for Effective Spam Detection-Reference-Cited by-同舟云学术

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Exploring Pre-processing Strategies and Feature Extraction in practical aspect for Effective Spam Detection

Published:2024-03-14 Issue: Volume: Page:
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Container-title:2024 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI)
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Author:

Singh Harjeet¹,Sood Shivani²,Maity Heranmoy³,Kumar Yogesh⁴

Affiliation:

1. Chitkara University, Institute of Engineering and Technology Chitkara University,Rajpura,Punjab,India,PIN: 140401

2. Lovely Professional University,School of Computer Applications,Punjab,India

3. Symbiosis International (Deemed University),Symbiosis Institute of Technology, Nagpur Campus,Pune,India

4. Pandit Deendayal Energy University,School of Technology,Gandhinagar,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10502389/10502407/10502863.pdf?arnumber=10502863

Reference15 articles.

1. Sentiment analysis of twitter data;Agarwal

2. An improved text sentiment classification model using tf-idf and next word negation;Das,2018

3. A comparison of event models for Naive Bayes anti-spam e-mail filtering

4. Svm-based filtering of e-mail spam withcontent-specific misclassification costs;Kolcz

5. Evaluating cost-sensitive Unsolicited Bulk Email categorization

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1. E-Commerce Data Alchemy;Advances in Electronic Commerce;2024-09-27

2. GBERT: A hybrid deep learning model based on GPT-BERT for fake news detection;Heliyon;2024-08

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