An Approach for Writing Style Change Detection using Pre-trained BERT model with similarity measures

Registration ID: IJNRD_194707

Published ID: IJNRD2305382

DOI: Click Here to Get

Dr. T. Raghunadha Reddy , Naveed Wasim , Mohd Muzzammil Hassan

Style Change Detection, BERT, Similarity Measures.

Detecting changes in writing style is an important task in authorship profiling, with one of its primary applications being plagiarism detection. The task aims to identify any areas in a document where there are stylistic changes, which can help estimate the number of authors of the document. This paper proposes a method for Style Change Detection that uses a pre-trained BERT model for detecting writing style changes in a given text corpus. BERT (Bidirectional Encoder Representations from Transformers) is an open-source bidirectional model by Google AI that can tokenize and generate embeddings for text data. To implement this approach, the BERT model will be fine-tuned on a dataset of known writing style changes, and then used to measure the similarity between adjacent segments of text in a given document. The model will compare the similarity scores of adjacent segments to identify areas where there is a change in writing style. This paper aims to explore the effectiveness of using pre-trained language models for writing style change detection and provide insights into how such models can be used in various text processing tasks. Overall, the proposed method has several potential benefits, including improved accuracy in identifying writing style changes and scalability to larger datasets. This could have significant implications for the field of authorship profiling and plagiarism detection, as it could potentially improve the efficiency and accuracy of these processes. Moreover, this approach can provide a foundation for future research in using pre-trained language models for text processing tasks beyond writing style change detection.

Published Paper   E-Certificate

Dr. T. Raghunadha Reddy, Naveed Wasim, & Mohd Muzzammil Hassan (May-2023). An Approach for Writing Style Change Detection using Pre-trained BERT model with similarity measures. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(5), d653-d658. https://ijnrd.org/papers/IJNRD2305382.pdf

Volume 8 Issue 5, May-2023

Pages : d653-d658

Paper Reg. ID: IJNRD_194707

Published Paper Id: IJNRD2305382

Downloads: 000121981

Research Area: Science & Technology

Country: Hyderabad, Telangana, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2305382.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2305382

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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