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) -
Research on text sentiment classification based on improved feature selection method
by: Mingxin LIU, et al.
Published: (2018-10-01) -
Sentiment Analysis of German Texts in Finance: Improving and Testing the BPW Dictionary
by: Matthias Pöferlein
Published: (2021-12-01) -
Investor sentiment networks: mapping connectedness in DJIA stocks
by: Kingstone Nyakurukwa, et al.
Published: (2025-01-01) -
A systematic assessment of sentiment analysis models on iraqi dialect-based texts
by: Hafedh Hameed Hussein, et al.
Published: (2025-12-01)