Abstract :

This Paper Presents A Natural Language Processing (NLP)-based System To Automatically Detect And Analyze The Sentiment Of Citations In Academic PDF Documents. The System Combines Regex-based Citation Detection, Transformer Based Sentiment Classification, And A Tkinter GUI Interface. The Aim Is To Simplify Literature Reviews, Evaluate Citation Tone, And Improve Research Workflow Efficiency. This Extended Version Elaborates The Literature Review, Dataset, And Discussion In Detail. KEYWORDS: Natural Language Processing (NLP), Citation Analysis, Sentiment Classification, PDF Text Extraction, Academic Research Tools

Published:

25-9-2025

Issue:

Vol. 25 No. 9 (2025)

Page Nos:

213-216

Section:

Articles

License:

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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