COMPUTER FUNDAMENTALS

Detailed explanation-1: -Sentiment analysis using Deep Learning is a many-to one prediction task-Deep Learning Quiz. Explanation : Option A is correct. This is because from a sequence of words, you have to predict whether the sentiment was positive or negative.

Detailed explanation-2: -Because deep learning programming can create complex statistical models directly from its own iterative output, it is able to create accurate predictive models from large quantities of unlabeled, unstructured data.

Detailed explanation-3: -Sentiment analysis is a type of machine learning tool. Machine learning works with natural language processing to make up the core building blocks of the sentiment analysis process.

Detailed explanation-4: -RNNs are probably the most commonly used deep learning models for NLP and with good reason. Because these networks are recurrent, they are ideal for working with sequential data such as text. In sentiment analysis, they can be used to repeatedly predict the sentiment as each token in a piece of text is ingested.