Sentiment analysis of pilgrims using CNN-LSTM deep learning approach.

ABSTRACT: Crowd management refers to the management and control of masses at specific locations. A Hajj gathering is an example. Hajj is the biggest gathering of Muslims worldwide. Over two million Muslims from all over the globe come annually to Makkah, Saudi Arabia. Authorities of Saudi Arabia strive to provide comfortable comprehensive services to pilgrims using the latest modern technologies. Recent studies have focused on camera scenes and live streaming to assess the count and monitor the behavior of the crowd. However, the opinions of the pilgrims and their feelings about their experience of Hajj are not well known, and the data on social media (SM) is limited. This paper provides a combination of Convolutional Neural Networks (CNN) and Long Short-Term Memory (LSTM) algorithms for sentiment a

SUBMITTER: Alasmari A 

PROVIDER: S-EPMC11784790 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature