Sentiment-SEBI-Fraud-Risk-Shiny-Dashboard

R Shiny dashboard for sentiment analysis and SEBI-style fraud risk screening

Sentiment & SEBI Fraud Risk Analysis – Shiny Dashboard

An interactive R Shiny dashboard for Sentiment Analysis and SEBI / SEC-style Fraud Risk Screening using Natural Language Processing (NLP).

Developed by Parmesh Kumar, this project demonstrates how textual narratives such as director speeches and company reports can be analyzed to identify sentiment patterns, narrative inconsistencies, and potential governance risk signals.

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🚀 Live Dashboard Preview

👉 Access the live Shiny app here:
🔗 https://parmeshkumar.shinyapps.io/sentiment-sebi-fraud-dashboard/

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📊 Dashboard Preview

Sentiment Analysis and SEBI Fraud Risk Analysis Module

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🔍 Key Features

1️⃣ Sentiment Analysis

• Upload .txt files
• Displays the complete input text
• Calculates:
  • Average sentiment score
  • Sentiment percentage (0–100%)
  • Overall sentiment category:
    • Extremely Negative
    • Negative
    • Neutral
    • Positive
    • Extremely Positive

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2️⃣ SEBI / SEC-Style Fraud Risk Analysis

• Analyzes narrative divergence between:
  • Director / CEO speech
  • Company final or annual report
• Detects:
  • Sentiment divergence
  • Linguistic deception markers
  • Optimism bias
• Generates a Fraud Risk Score (0–100) with categories:
  • LOW RISK
  • RISK
  • MODERATE RISK
  • HIGH RISK
  • SUPER RISK

⚠️ This is a risk-screening model, not a fraud-detection or legal judgment system.

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📁 Input File Format

✅ Sentiment Analysis Only

• Upload the text file

✅ SEBI Fraud Risk Analysis

• To perform SEBI Fraud Risk Analysis: -the text file must contain : -[SPEECH] -Director or CEO speech text.

  -[REPORT] -Company annual or final report text.

✅ Paste/Type Here

• Select the option to feed text manually.

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▶️ How to Run

Visit the link:

https://parmeshkumar.shinyapps.io/sentiment-sebi-fraud-dashboard

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💻 To run locally:

• install.packages(c("shiny", "tm", "sentimentr", "stringr", "DT"))
• setwd("path/to/Sentiment-SEBI-Fraud-Risk-Shiny-Dashboard"
• shiny::runApp()

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👤 About Author

This project is created and maintained by Parmesh Kumar.

📄 Read more about the author here:
👉 Author.md