Overview
Instructions: Prepare a comprehensive written report that answers all the following questions
related to Text Mining, NLP, Machine Learning, and Deep Learning. Your answers must be clear, well-organized, and written in your own words.
1- Explain the relationship among data mining, text mining,and sentiment analysis. 2- In your own words, define text mining, and discuss its most popular applications.
3- What does it mean to induce structure into text-based data? Discuss the alternative ways of inducing structureinto them.
4- What is the role of NLP in text mining? Discuss the capabilitiesand limitations of NLP in the context of text mining.
5- List and discuss three prominent application areas for text mining. What is thecommon theme among thethree application areas you chose?
6- What is sentiment analysis? How does it relate to text mining ?
7- What is deep learning? What can deep learning do that traditional machine-learning methods cannot?
8- List and briefly explain different learning paradigms/methods in AI.
9- What is representation learning, and how does it relateto machine learning and deep learning? 10- List and briefly describe the most commonly used ANN activation functions.
11- What is MLP, and how does it work? Explain the function of summation and activation weights in MLP-type ANN.
12- List and briefly describe the nine-step process in conductinga neural network project.