Litcius/Paper detail

A Comprehensive Survey on Event Analysis Using Deep Learning

Abhilasha Varshney, Sonia Lamba, Puneet Garg

20222022 Fifth International Conference on Computational Intelligence and Communication Technologies (CCICT)17 citationsDOI

Abstract

We can see multiple breakthroughs in various deep learning algorithms that have been successful in a variety of areas, including audio, video, images, text, and natural language processing (NLP) in the current environment (natural language processing). In this position, deep learning will help you understand the structure and meaning of sentences. This is a contemporary trend, and many academics are switching from standard machine learning to deep learning in their study. Face detection and biometric recognition, for example, have been investigated, and we learned that a significant amount of effort has gone into them. In this report, we examined several research publications from journals and conferences to compare various methodologies in data preparation, face detection, and sentiment analysis.

Topics & Concepts

Computer scienceDeep learningArtificial intelligenceVariety (cybernetics)Meaning (existential)Sentiment analysisNatural language processingFace (sociological concept)Event (particle physics)Natural languageNatural (archaeology)Data scienceLinguisticsPsychologyPhilosophyHistoryPsychotherapistArchaeologyPhysicsQuantum mechanicsSentiment Analysis and Opinion MiningFace recognition and analysisText and Document Classification Technologies