Evaluating Citizens’ Sentiments in Smart Cities: A Deep Learning Approach
Sentiment analysis of user-generated online content is crucial for smart city analytics and relevant social services. Researchers have relied mainly on textual sentiment analysis to develop systems to predict political elections, measure economic indicators, and so on. Recently, social media users a...
Saved in:
| Main Author: | Elabora, Abdallah (author) |
|---|---|
| Other Authors: | Alkhatib, Manar (author), Samuel Mathew, Sujith (author), El Barachi, May (author) |
| Published: |
2021
|
| Subjects: | |
| Online Access: | https://bspace.buid.ac.ae/handle/1234/3072 https://doi.org/10.23919/SpliTech49282.2020.9243768. |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A Deep Learning Approach for Real-Time Analysis of Attendees’ Engagement in Public Events
by: Samuel Mathew, Sujith
Published: (2021) -
Sentiment Analysis of Dialectal Speech: Unveiling Emotions through Deep Learning Models
by: EZZELDIN, KHALED MOHAMED KHALED
Published: (2024) -
Deep Learning for the Extraction of Aspects in Textual Opinions
by: ALSEREIDI, MOHAMED SOHAIL
Published: (2023) -
Arabic Speech Sentiment Analysis Using Machine Learning: A Case Study of COP28
by: ALMUALLA, SHEIKH ABDULAZIZ
Published: (2024) -
The Impact of Arabic Part of Speech Tagging on Sentiment Analysis: A New Corpus and Deep Learning Approach
by: Munem Nerabie, Abdul
Published: (2021)