Enhancing Sentiment Analysis and Rating Prediction Using the Review Text Granularity (RTG) Model
In the era of digital technology, when material created by users is prevalent on online platforms, considerable difficulty is faced in analyzing large volumes of text in order to comprehend user emotions and forecast product ratings. The rapid rise in online reviews and comments necessitates the use...
Saved in:
Main Authors: | Rajesh Garapati, Manomita Chakraborty |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2025-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10854458/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Sentimentally enhanced conversation recommender system
by: Fengjin Liu, et al.
Published: (2025-01-01) -
AN INTRODUCTION TO FACTORIZATION TECHNIQUE FOR BUILDING RECOMMENDATION SYSTEMS
by: Nguyen Thai Nghe
Published: (2013-06-01) -
A systematic assessment of sentiment analysis models on iraqi dialect-based texts
by: Hafedh Hameed Hussein, et al.
Published: (2025-12-01) -
Important Citation Identification by Exploding the Sentiment Analysis and Section-Wise In-Text Citation Weights
by: Shahzad Nazir, et al.
Published: (2022-01-01) -
The Portuguese consumer sentiment index toward marketing-mix in crisis context
by: Paula Odete Fernandes, et al.
Published: (2013-01-01)