Decoding User Feedback: Sentiment Analysis for Enhancing Smart Home Device Performance

Siddiqui, I. F. (Speaker)
Heet Bodara (Discussant)

Department of Software Systems & Cybersecurity

Activity: Other Teaching Engagements and non-HDR Supervisions › Mentor/ Internship supervision

Description

This project aims to leverage sentiment analysis to enhance the performance and user experience of smart home devices. By analysing user interactions with voice assistants and smart interfaces, we seek to uncover insights into user satisfaction, identify common issues, and gather feature requests.

Period	Nov 2024 → Mar 2025

Keywords

Sentiment Analysis
Smart Home
Personal Assistance Devices