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

Call for Paper Volume 6 Issue 5 September-October 2024 Submit your research before last 3 days of October to publish your research paper in the issue of September-October.
Submit Research Paper Join as a Reviewer

Plagiarism is checked by the leading plagiarism checker TurnItIn

Call for Paper

Volume 6 Issue 5
September-October 2024

Submit your research paper

Indexing Partners
Academia Advanced Sciences Index Bielefeld Academic Search Engine CiteSeer DRJI Google Scholar Independent Search Engine & Directory Network ISI (International Scientific Indexing) Issuu Mendeley Research Networks
RefSeek ResearcherId - Thomson Reuters ResearchGate Scirus Scribd Semantic Scholar UTeM - Universiti Teknikal Malaysia Melaka Wiki for Call for Papers WorldCat Zenodo

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
View / Download PDF File

Share this



E-ISSN 2582-2160
CrossRef

CrossRef DOI is assigned to each research paper published in our journal.

IJFMR DOI prefix is
10.36948/ijfmr

Downloads
Research Paper Format Copyright Permission Form and Undertaking Form Cover Page Vol 6 Isu 5Cover Page Vol 6 Isu 4Cover Page Vol 6 Isu 3

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.

CC-BY-SA Open Access

About IJFMR
Fees & Payment
Current Issue
Publication Archive 		Submit Research Paper
Track Submission Status
Publication Guidelines
Publication Ethics
Peer Review & Plagiarism 		Join as a Reviewer
Editors & Reviewers
Reviewer Referral Program
Get Reviewer Membership Certi. 		Website/Journal Policies
Usage Policy
Content Policies
Privacy Policy
Contact Us +91-9898-5948-55 editor@ijfmr.com