Character Categorizing

Registration ID: IJNRD_197345

Published ID: IJNRD2305762

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Utkarsh Gupta, Vaibhav Chandra

Character Categorization, Natural Language Processing, F1-score.

This project aims to develop a machine learning-based framework for character categorization, enabling automated analysis of personality traits and archetypes in fictional characters. By compiling a diverse dataset of fictional characters from various genres and mediums, we pre-process the textual data and extract relevant features. Using natural language processing techniques and supervised learning models, we train the system to identify patterns and correlations between textual features and character attributes. The proposed framework will be evaluated using metrics like accuracy, precision, recall, and F1-score, alongside user studies to gather subjective feedback. The expected outcome is a reliable and scalable character categorization model that enhances content recommendation algorithms, facilitates character-driven story generation, and provides insights into audience preferences and engagement. This project contributes to advancing natural language processing and machine learning by addressing the challenging task of character analysis and categorization.

Published Paper   E-Certificate

Utkarsh Gupta & Vaibhav Chandra (May-2023). Character Categorizing. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(5), h460-h465. https://ijnrd.org/papers/IJNRD2305762.pdf

Volume 8 Issue 5, May-2023

Pages : h460-h465

Paper Reg. ID: IJNRD_197345

Published Paper Id: IJNRD2305762

Downloads: 000122253

Research Area: Computer Science & Technology 

Author Type: Indian Author

Country: Lucknow, Uttar Pradesh , India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2305762.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2305762

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Call For Paper - Volume 10 | Issue 12 | December 2025

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