International Journal For Multidisciplinary Research
E-ISSN: 2582-2160
•
Impact Factor: 9.24
A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
Home
Research Paper
Submit Research Paper
Publication Guidelines
Publication Charges
Upload Documents
Track Status / Pay Fees / Download Publication Certi.
Editors & Reviewers
View All
Join as a Reviewer
Reviewer Referral Program
Get Membership Certificate
Current Issue
Publication Archive
Conference
Publishing Conf. with IJFMR
Upcoming Conference(s) ↓
WSMCDD-2025
GSMCDD-2025
Conferences Published ↓
RBS:RH-COVID-19 (2023)
ICMRS'23
PIPRDA-2023
Contact Us
Plagiarism is checked by the leading plagiarism checker
Call for Paper
Volume 6 Issue 5
September-October 2024
Indexing Partners
An Evaluation Methodology News Headline Classification using Comprehensive Pattern Learning
Author(s) | Sivapriya G, Princy Reshma R, Deepak S, C. Shanmuganathan |
---|---|
Country | India |
Abstract | Text classification plays a pivotal role in numerous applications, ranging from spam detection to sentiment analysis. With the exponential growth of textual data stemming from social media interactions and news articles, the demand for accurate text classification methods has surged. This research delves into the evaluation of a novel weighting function designed to adjust the representation of texts during multilabel classification [1]. This innovative approach combines two distinct strategies: problem transformation and model adaptation. By incorporating this weighting function, the classification process undergoes a significant enhancement, ultimately improving the accuracy and efficiency of multilabel classification tasks [1]. To assess the efficacy of the proposed methodology, rigorous testing was conducted across ten referential textual datasets. Comparative analysis was performed against alternative techniques, with a keen focus on three key performance measures. The results obtained from these evaluations provide valuable insights into the effectiveness and robustness of the weighting function, shedding light on its potential to revolutionize text classification paradigms. |
Keywords | News Headline Classification; Comprehensive Pattern Learning; Text Classification; Evaluation Methodology; Text Mining; Neural Network; Deep Learning; Natural Language Processing; Natural Language Toolkit. |
Field | Computer Applications |
Published In | Volume 6, Issue 5, September-October 2024 |
Published On | 2024-09-21 |
Cite This | An Evaluation Methodology News Headline Classification using Comprehensive Pattern Learning - Sivapriya G, Princy Reshma R, Deepak S, C. Shanmuganathan - IJFMR Volume 6, Issue 5, September-October 2024. DOI 10.36948/ijfmr.2024.v06i05.20243 |
DOI | https://doi.org/10.36948/ijfmr.2024.v06i05.20243 |
Short DOI | https://doi.org/g4qmz4 |
Share this
E-ISSN 2582-2160
doi
CrossRef DOI is assigned to each research paper published in our journal.
IJFMR DOI prefix is
10.36948/ijfmr
Downloads
All research papers published on this website are licensed under Creative Commons Attribution-ShareAlike 4.0 International License, and all rights belong to their respective authors/researchers.