Business intelligence-con-ducting neural network project

Assignment Help Basic Computer Science

Reference no: EM132788765

Part 1.

List and briefly describe the nine-step process in con-ducting a neural network project.

Part 2.

What are the common challenges with which sentiment analysis deals? What are the most popular application areas for sentiment analysis? Why?

Part 3.

1. What is deep learning? What can deep learning do that traditional machine-learning methods cannot?

2. List and briefly explain different learning paradigms/ methods in AI.

3. What is representation learning, and how does it relate to machine learning and deep learning?

4 What is MLP, and how does it work? Explain the function of summation and activation weights in MLP-type ANN.

Part 4.

5. Explain the relationship among data mining, text min- ing, and sentiment analysis.

6. In your own words, define text mining, and discuss its most popular applications.

7. What does it mean to induce structure into text-based data? Discuss the alternative ways of inducing structure into them.

8. What is the role of NLP in text mining? Discuss the capa- bilities and limitations of NLP in the context of text mining.

Reference no: EM132788765

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