Author Login IJIRT Partner Network (IPN) Login

Sentiment-Based Rating Model using VADER and TextBlob

  • Unique Paper ID: 164257
  • Volume: 10
  • Issue: 12
  • PageNo: 774-785
  • Abstract:
  • This study presents an innovative sentiment-based rating model designed to convert sentiment analysis outputs into a standardized 5-star rating system using various scaling methods. Utilizing VADER and TextBlob for comprehensive sentiment analysis, our model employs linear, exponential, piece-wise linear, quantile, and sigmoid scaling methods to normalize sentiment scores effectively. We systematically evaluate the effectiveness of each scaling method, aiming to optimize both the predictive accuracy and reliability of our rating conversions. The performance metrics, including accuracy, Mean Squared Error (MSE), and F1 scores, demonstrate the strengths and limitations of each method, providing insights into their suitability for diverse analytical needs in sentiment-based applications.
Download article email to a friend

Cite This Article

  • ISSN: 2349-6002
  • Volume: 10
  • Issue: 12
  • PageNo: 774-785

Sentiment-Based Rating Model using VADER and TextBlob

Related Articles

Impact Factor
8.01 (Year 2024)
UGC Approved
Journal no 47859

Join Our IPN

IJIRT Partner Network

Submit your research paper and those of your network (friends, colleagues, or peers) through your IPN account, and receive 800 INR for each paper that gets published.

Join Now

Latest Publication

Archive

View More

Recent Conferences

NCSEM 2024

National Conference on Sustainable Engineering and Management - 2024 Last Date: 15th March 2024

Submit inquiry