A Multi - Variate Feature Selection Framework for Comparing Performance of RNN And LSTM For Aspect-Level Sentiment Analysis
Date of Submission
5th Mar 2026
General Information:
|
| Year Of Paper Submission : 2024-25 |
| Type of Applicant : Research Scholar |
| Selected Course : PhD |
| Department of Applicant : COMPS |
| Class of Applicant : Research Scholar |
Applicants Details:
|
| UCID of Applicant : 2021321005 |
| Applicant Name : Nikhat Fatma Mumtaz Husain Shaikh |
| Applicant Email : nikhatshaikh10.10.80@gmail.com |
| Applicant Contact Number : 9821877743 |
Guide Details:
|
| Department of Guide No. 1 : Information Technology |
| Name of First Guide : Dr. Prasenjit Bhavathankar |
Paper Details:
|
| Title of Paper : A Multi - Variate Feature Selection Framework for Comparing Performance of RNN And LSTM For Aspect-Level Sentiment Analysis |
| Type of Paper : international |
| Type of Publication : international |
| Name of the Conference/journal/publisher :
IEEE Fourth International Conference on Power, Control and Computing Technologies (ICPC2T-2025) |
| Is awarded for anything : yes |
| Is awarded for anything : Presented |
| Date Of Conference / Journal / Book :
2025-01-20 |
| Conference_Type : ieee |
| Name of the Hosting Institute of the Conference :
NIT Raipur |
| Address of Host Institute : National Institute of Technology,
Raipur, Chhattisgarh, India. |
| ISBN : 979-8-3315-3040-2 |
| Indexed : Scopus |
