Implement the C99 approach for text segmentation.

1.       Implement the C99 approach for text segmentation.

2.       Discuss the similarities between named entity recognition, aspect-based opinion mining, text segmentation, and event (mention) extraction. Name one core learning method that is used in all these problems.

3.       Implement the streaming text clustering method discussed in this chapter. Suppose that some of the documents are marked with labels of specific event types. How would you use this information to improve the clustering. .

4.       Suppose that you receive a stream of text documents in which the labels of the documents are received as a separate (delayed) stream. Discuss how you would predict the label of each incoming document by modifying the streaming text clustering algorithm and combining with a centroid classification method.

find the cost of your paper

Suggest a modification of the binary search algorithm that emulates this strategy for a list of names.

1. Suppose that a list contains the values 20 44 48 55 62 66 74 88 93 99 at index positions 0 through 9. Trace the values of the variables….

Explain why insertion sort works well on partially sorted lists.

1. Which configuration of data in a list causes the smallest number of exchanges in a selection sort? Which configuration of data causes the largest number of exchanges? 2. Explain….

Draw a class diagram that shows the relationships among the classes in this new version of the system

Jack decides to rework the banking system, which already includes the classes BankView, Bank, SavingsAccount, and RestrictedSavingsAccount. He wants to add another class for checking accounts. He sees that savings….