Abstract
Deep learning is a type of artificial intelligence that employs neural networks, a multi-layered structure of algorithms. Deep learning is an accumulation of artificial intelligence statistics based on artificial neural networks for the teaching of functional hierarchies. In sentiment analysis, deep learning is also applied. This paper begins with an overview of deep learning before moving on to a detailed examination of its present uses in sentiment analysis.
Highlights
The process of detecting positive or negative sentiment in text is known as sentiment analysis
Preprocessing and resources are required for multilingual sentiment analysis
DEEP LEARNING Deep learning is a type of artificial intelligence that is intentionally programmed
Summary
The process of detecting positive or negative sentiment in text is known as sentiment analysis. Clients are expressing their ideas and sentiments more freely than ever before, and emotion recognition is quickly to become an indispensable tool for tracking and understanding that opinion. Brands can learn what makes customers happy or unhappy by automatically analyzing customer feedback, such as opinions in survey responses and social media conversations. This enables them to tailor goods and services to satisfy their users’ requirements
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