Practice Applications In Nlp (sentiment Analysis) & Time Series Forecasting (conceptual) (13.2)
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Applications in NLP (Sentiment Analysis) & Time Series Forecasting (Conceptual)

Practice - Applications in NLP (Sentiment Analysis) & Time Series Forecasting (Conceptual)

Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What are RNNs used for?

💡 Hint: Think about what types of input data have a sequence.

Question 2 Easy

Explain sentiment analysis in simple terms.

💡 Hint: Consider how emotions can be expressed in words.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What type of network is primarily used for processing sequences?

Convolutional Neural Network
Recurrent Neural Network
Feedforward Neural Network

💡 Hint: Consider which architecture is meant for remembering past inputs.

Question 2

True or False: LSTMs are better than standard RNNs at learning long-term dependencies.

True
False

💡 Hint: Consider the properties of LSTMs.

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Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Design a basic structure for an RNN that could be used for sentiment analysis. Outline the layers and functions you would include.

💡 Hint: Think about the flow of data through the model.

Challenge 2 Hard

Examine a dataset to predict future stock prices. Discuss what features would be necessary to provide the RNN to enhance its predictions.

💡 Hint: Consider both historical data and external information impacting stock prices.

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Reference links

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