Paper Title
Character Categorizing
Article Identifiers
Authors
Utkarsh Gupta , Vaibhav Chandra
Keywords
Character Categorization, Natural Language Processing, F1-score.
Abstract
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.
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How To Cite (APA)
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
Issue
Volume 8 Issue 5, May-2023
Pages : h460-h465
Other Publication Details
Paper Reg. ID: IJNRD_197345
Published Paper Id: IJNRD2305762
Downloads: 000121987
Research Area: Computer Science & TechnologyÂ
Country: Lucknow, Uttar Pradesh , India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2305762.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2305762
About Publisher
Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)
ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016
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Licence
This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition


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