ISSN2320-2882
Impact Factor9.17
UGC ParametersAligned
Low Cost₹1501 / $59
CrossRefDOI
ESTD2013
Peer ReviewTransparent
AccessOpen
Submission: Always Open
Paper Title
RAG - BASED WEB INTELLIGENCE SYSTEM FOR DOMAIN SPECIFIC SENTIMENT ANALYSIS
Authors
SIVACHANDIRAN K , SATHISH KUMAR D , SANJEEV KUMAR A , SAMYDURAI A
Keywords
RAG, Domain Specific Sentiment Analysis, NLP, Financial Data Analysis, Vector Database, ChromaDB, Information Retrieval, Generative AI, Web Intelligence
Abstract
This paper presents a RAG-Based Web Intelligence System designed for domain-specific sentiment analysis of financial data. The system integrates Natural Language Processing (NLP) techniques with Retrieval-Augmented Generation (RAG) to analyze real-time web-based information and generate meaningful insights. News data is collected from online sources and processed using a domain-specific sentiment analysis model to classify information into positive, negative, and neutral sentiments.
The processed data is transformed into vector embeddings and stored in a vector database for efficient retrieval. The RAG framework enables the system to retrieve relevant contextual information and generate accurate, context-aware responses to user queries. Additionally, the system provides visualization of sentiment trends and integrates stock-related data to support analytical understanding.
This approach enhances decision-making by combining data retrieval, machine learning, and generative AI, making it suitable for financial analysis and intelligent web-based applications.
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How To Cite
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IJCRT — journal style
"RAG - BASED WEB INTELLIGENCE SYSTEM FOR DOMAIN SPECIFIC SENTIMENT ANALYSIS", IJCRT - International Journal of Creative Research Thoughts (www.ijcrt.org), ISSN:2320-2882, Vol.14, Issue 3, page no.h106-h115, March 2026, Available :https://ijcrt.org/papers/IJCRT2603854.pdf
APA — 7th edition
K, S., D, S. K., A, S. K., & A, S. (2026). RAG - BASED WEB INTELLIGENCE SYSTEM FOR DOMAIN SPECIFIC SENTIMENT ANALYSIS. International Journal of Creative Research Thoughts, 14(3), h106-h115. https://ijcrt.org/viewpaperforall.php?paper=IJCRT2603854
MLA — 9th edition
K, SIVACHANDIRAN, et al. "RAG - BASED WEB INTELLIGENCE SYSTEM FOR DOMAIN SPECIFIC SENTIMENT ANALYSIS." International Journal of Creative Research Thoughts, vol. 14, no. 3, 2026, pp. h106-h115, https://ijcrt.org/viewpaperforall.php?paper=IJCRT2603854.
Chicago — 17th, bibliography
K, SIVACHANDIRAN, et al. "RAG - BASED WEB INTELLIGENCE SYSTEM FOR DOMAIN SPECIFIC SENTIMENT ANALYSIS." International Journal of Creative Research Thoughts 14, no. 3 (2026): h106-h115. https://ijcrt.org/viewpaperforall.php?paper=IJCRT2603854.
Harvard — author–date
K, S. et al. (2026) 'RAG - BASED WEB INTELLIGENCE SYSTEM FOR DOMAIN SPECIFIC SENTIMENT ANALYSIS', International Journal of Creative Research Thoughts, 14(3), pp. h106-h115. Available at: https://ijcrt.org/viewpaperforall.php?paper=IJCRT2603854
IEEE — numbered reference
S. K, S. K. D, S. K. A and S. A, "RAG - BASED WEB INTELLIGENCE SYSTEM FOR DOMAIN SPECIFIC SENTIMENT ANALYSIS," IJCRT, vol. 14, no. 3, pp. h106-h115, Mar. 2026.
Vancouver — biomedical
K S, D SK, A SK, A S. RAG - BASED WEB INTELLIGENCE SYSTEM FOR DOMAIN SPECIFIC SENTIMENT ANALYSIS. IJCRT. 2026 Mar;14(3):h106-h115.
AMA — 11th edition
K S, D SK, A SK, A S. RAG - BASED WEB INTELLIGENCE SYSTEM FOR DOMAIN SPECIFIC SENTIMENT ANALYSIS. IJCRT. 2026;14(3):h106-h115. Accessed at https://ijcrt.org/viewpaperforall.php?paper=IJCRT2603854
BibTeX — Zotero, Mendeley, LaTeX
@article{IJCRT2603854,
author = {SIVACHANDIRAN K and SATHISH KUMAR D and SANJEEV KUMAR A and SAMYDURAI A},
title = {RAG - BASED WEB INTELLIGENCE SYSTEM FOR DOMAIN SPECIFIC SENTIMENT ANALYSIS},
journal = {International Journal of Creative Research Thoughts},
volume = {14},
number = {3},
pages = {h106-h115},
year = {2026},
month = {March},
issn = {2320-2882},
url = {https://ijcrt.org/viewpaperforall.php?paper=IJCRT2603854}
}
RIS — EndNote, RefWorks
TY - JOUR
AU - K, SIVACHANDIRAN
AU - D, SATHISH KUMAR
AU - A, SANJEEV KUMAR
AU - A, SAMYDURAI
TI - RAG - BASED WEB INTELLIGENCE SYSTEM FOR DOMAIN SPECIFIC SENTIMENT ANALYSIS
T2 - International Journal of Creative Research Thoughts
JA - IJCRT
VL - 14
IS - 3
PY - 2026
SN - 2320-2882
UR - https://ijcrt.org/viewpaperforall.php?paper=IJCRT2603854
SP - h106-h115
ER -
Issue
Volume 14 Issue 3,
March-2026
Pages : h106-h115
Article Information
- Pages
- h106-h115
- Published
- March 2026
- Registration ID
- IJCRT_303860
- Published Paper ID
- IJCRT2603854
- Research Area
- Science and Technology
- Author Type
- Indian Author
- Location
- CHENGALPATTU, TAMIL NADU, India
- Peer Review
- Request Peer Review Report
- Licence
- CC BY 4.0 · Open Access
- ISSN & Impact Factor
- 2320-2882 · IF 9.17
- Downloads
- 140
- Permanent Link
- https://ijcrt.org/viewpaperforall.php?paper=IJCRT2603854
- Published Paper PDF
- https://ijcrt.org/papers/IJCRT2603854.pdf
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International Journal of Creative Research Thoughts
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2320-2882
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