Sentiment Analysis is an AI technique that analyses emotions and opinions expressed in text data. Sentiment analysis can classify text as positive, negative, or neutral, and can identify the subject of the sentiment. Sentiment Analysis has applications in social media monitoring, customer feedback, and market research.
Variational Autoencoders are a type of generative model used in unsupervised learning. VAEs learn a low-dimensional representation of input data and can generate new…
