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International Journal for Research Trends and Innovation
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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Issue: May 2026
Volume 11 | Issue 5
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Impact Factor : 8.14
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| Paper Title: | Automated Unfair Clause Detection in Terms & Services for User Right Protection Using DistilBERT - Machine Learning- “ClauseNLP” |
| Authors Name: | Arnav Baban Dhiwar , Rohit Paswan , Sumed Hubale |
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IJRTI_211990
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| Published Paper Id: | IJRTI2604295 |
| Published In: | Volume 11 Issue 4, April-2026 |
| DOI: | |
| Abstract: | Digital Terms of Service(ToS) agreements have become an unavoidable aspect of online interaction, yet the overwhelming majority of users never read them before clicking 'agree.' These documents are typically dense, lengthy, and laced with legal jargon that even educated readers find difficult to parse. Hidden within such agreements are clauses that may unfairly limit user rights, allow extensive data collection, or waive legal protection entirely. Addressing this growing concern, this paper presents ClauseNLP — an AI-powered web-based system designed to automatically analyze Terms of Service documents and surface potentially harmful clauses in plain, understandable language. The system leverages DistilBERT, a lightweight transformer model distilled from BERT, fine-tuned on a labeled dataset of ToS clauses categorized into three risk levels: Risky, Moderate, and Safe. Beyond clause classification, the system integrates a local large language model (Ollama/LLaMA) to generate natural language summaries of the analyzed document, offering users a concise risk report without needing to read the full agreement. Supporting both URL-based and PDF-based input, ClauseNLP achieves a classification accuracy of 80.14% and demonstrates practical utility as a consumer-facing transparency tool in the digital ecosystem |
| Keywords: | — Terms of Service analysis, DistilBERT, NLP clause classification, unfair clause detection, consumer protection, transformer models, risk scoring |
| Cite Article: | "Automated Unfair Clause Detection in Terms & Services for User Right Protection Using DistilBERT - Machine Learning- “ClauseNLP” ", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.11, Issue 4, page no.c176-c181, April-2026, Available :http://www.ijrti.org/papers/IJRTI2604295.pdf |
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2604295
Registration ID:211990
Published In: Volume 11 Issue 4, April-2026
DOI (Digital Object Identifier):
Page No: c176-c181 Country: Pune, Maharashtra, India Research Area: Information Technology Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2604295 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2604295 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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