Sentiment Analysis in the AI-Based Social Networks
نویسندگان
1 Department of Information Technology Management, Science and Research Branch, Islamic Azad University, Tehran, Iran
2 Department of Industrial Management, Central Tehran Branch, Islamic Azad University, Tehran, Iran
3 Department of Industrial Management, Karaj Branch, Islamic Azad University, Alborz, Iran
doi
10.22034/ijism.2024.2019923.1360چکیده
Recent developments in emerging technologies have enabled users to interact with social networks. Nowadays, one of the ways of interaction is to understand the real feelings of people at the moment, the outcome of which, based on the people’s reaction and attitude, appears in analyzing feelings like facial features, type of speech, or the people’s jobs such as video, photograph, voice, and text. In this research, through deep learning and machine learning in the AI, the sentiment analysis has been studied and evaluated using AI and deep learning algorithms like motion detection, body language recognition, image processing, sound and text processing, computer vision, natural language processing and different network techniques. The paper, providing a new conceptual model design, has provided more details about sentiment analysis in social networks by incorporating AI techniques in social networks with high speed and accuracy.