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article · REST Journal on Data Analytics and Artificial Intelligence · 2025

Sentiment Analysis

Shaik Ashraf, Satyam Abhinav, Dyaga Vinay, Rajesh Myakala, M Rana, M Sajjad, A Khan, B Reddy, A Mallikarjuna Reddy, M Sradda, . Mounika, S Meghana, K, V Navyasree, Y Surarchitha, A Reddy, . Anuhya, A Jabeen, H, B Rao, A Reddy, V Ramya, F Khanam, K Sirisha, Mtesseract, P Silpa, A Reddy, C Durga, C Priya, J Mounika, A Reddy, K Reddy, M Jayaram, . Kumar, V Stalin Alex, D, N Manoranjan Dash, S Londhe, Ghosh, Manoranjan Dash, Manoranjan Dash, Manoranjan Dash, Manoranjan Dash, J Samriya, C Chakraborty, A Sharma, M Kumar, S Ramakuri, S Ramakuri, M Prasad and 27 more

Cited by 0Open access

Abstract

With the growing popularity of online shopping, it has become essential to have reliable systems for evaluating products. This project creates a system that uses advanced natural language processing (NLP) techniques like Sentiment Analysis, Opinion Mining, and Aspect-Based Sentiment Analysis (ABSA) to provide accurate scores for products. It uses the Distil BERT model to analyze reviews and give ratings from 1 to 5 based on what customers write. ABSA helps the system break down feedback into specific areas, such as quality, price, and durability, offering more detailed insights. The system also detects emotions like happiness, anger, or sadness in reviews, giving a clearer picture of user opinions. It supports multiple languages, making it useful for analyzing reviews globally. Built with tools like Python, Beautiful Soup, NLTK, and Transformers, this system processes online reviews and converts them into easy-to-understand scores, helping buyers make better decisions.

Cite this paper

APA 7

Ashraf, S., Abhinav, S., Vinay, D., Myakala, R., Rana, M., Sajjad, M., Khan, A., Reddy, B., Reddy, A. M., Sradda, M., Mounika, , Meghana, S., K, Navyasree, V., Surarchitha, Y., Reddy, A., Anuhya, , Jabeen, A., H, . . . Prasad, M. (2025). Sentiment Analysis. REST Journal on Data Analytics and Artificial Intelligence, 4(1 March 2025), 683–689. https://doi.org/10.46632/jdaai/4/1/88

MLA 9

Ashraf, Shaik, et al. “Sentiment Analysis.” REST Journal on Data Analytics and Artificial Intelligence, vol. 4, no. 1 March 2025, 2025, pp. 683–89, https://doi.org/10.46632/jdaai/4/1/88.

Chicago

Ashraf, Shaik, Satyam Abhinav, Dyaga Vinay, Rajesh Myakala, M Rana, M Sajjad, A Khan, et al. 2025. “Sentiment Analysis.” REST Journal on Data Analytics and Artificial Intelligence 4 (1 March 2025): 683–89. https://doi.org/10.46632/jdaai/4/1/88.

Harvard

Ashraf, S. et al. (2025) ‘Sentiment Analysis’, REST Journal on Data Analytics and Artificial Intelligence, 4(1 March 2025), pp. 683–689. Available at: https://doi.org/10.46632/jdaai/4/1/88.

BibTeX
@article{ashraf2025sentiment,
  title = {{Sentiment Analysis}},
  author = {Ashraf, Shaik and Abhinav, Satyam and Vinay, Dyaga and Myakala, Rajesh and Rana, M and Sajjad, M and Khan, A and Reddy, B and Reddy, A Mallikarjuna and Sradda, M and Mounika, . and Meghana, S and K and Navyasree, V and Surarchitha, Y and Reddy, A and Anuhya, . and Jabeen, A and H and Rao, B and Reddy, A and Ramya, V and Khanam, F and Sirisha, K and Mtesseract and Silpa, P and Reddy, A and Durga, C and Priya, C and Mounika, J and Reddy, A and Reddy, K and Jayaram, M and Kumar, . and Alex, V Stalin and D and Dash, N Manoranjan and Londhe, S and Ghosh and Dash, Manoranjan and Dash, Manoranjan and Dash, Manoranjan and Dash, Manoranjan and Samriya, J and Chakraborty, C and Sharma, A and Kumar, M and Ramakuri, S and Ramakuri, S and Prasad, M and others},
  journal = {REST Journal on Data Analytics and Artificial Intelligence},
  volume = {4},
  number = {1 March 2025},
  pages = {683--689},
  year = {2025},
  doi = {10.46632/jdaai/4/1/88}
}

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