Please, I want answer part B

We want to calculate all kinds of data related to texts. To do this, given any alphabetic text (say, book or article), we must create a data structure that stores the words that appear in it. The number of words in the text, the number of different words in the text, the most common word, the number of words that begin with a certain letter (say 'A').

To do this we define a class that represents the group of words in the text. There is no need to keep the order of the words as they appear in the text.

The class will represent the group of words in the most efficient manner - a list sorted in order of dictionaries.

You must use a class called Node that represents one node (a link) in the list, and a class called TextList that represents the entire list - a list.

Part A - class Node

The Node class will contain the following two private properties:

1. String word

2. Node next

You must write the constructors and methods required for use in the Node class as taught in the course.

The class names in the class will be:

getNext(), getWord(), setNext(Node next), setWord(String word)

Part B - class TextList

You must write the TextList class definition: it has only one attribute - the top of the list.

The TextList class will contain only one constructor - the empty constructor that initializes an empty list.

In addition, write to the class with the following methods, in the most efficient way possible! public void addToData (String word)

Which accepts a word that is read from the text and adds it to the data structure. It can be assumed that the word parameter contains a valid word with letters only. Remember that you have to keep the list sorted in order of dictionaries and therefore put it in the appropriate place. You can use the String compareTo method of string comparison.

public void parseTextIntoList (String text)

Which accepts as a parameter a string that represents text (that is, only words with a single space between each word) and adds the words to the list (each word separately and in its dictionaries). You can assume that the input is valid, meaning only words with lowercase letters, no punctuation or other marks, and there is a single space between each word. Use the code you've already written and do not duplicate code.

public int howManyWords ()

returns the number of words in the text. Write this as a recursive method.

public int howManyDifferentWords ()

returns the number of different words in the text. (Hint: the list is sorted).

public int howManyStarting (char letter)

takes a character and returns the number of words that begins with this character.

public String mostFrequentWord ()

returns the most occurring word in the text.(Hint: the list is sorted)

public String toString()

Passes the list to a string, between each word will be a single space. Note that since the words are entered in a sorted order, the order received here will be different from the order in which the words were inserted!

public void addToList(TextList other)

A method that adds all of the words in the list received as a parameter to the current list. It can be assumed that the list received is also sorted. And that the list is legal (contains words according to the known rules). Do not use the addToData method. The numbered lists must already be merged into one sorted list as in the merge filter.

Part C - class WordProcessor

Write a class WordProcessor that contains a GUI with text field to enter the text and a bottom for each method.

wort, the awmere at wouts that bege with beton iner tory al) beep the ir bur ul the worth = thes apoent in Ben tex. afdietionoris. talind Teneint but improunti the entive ant " a art Part A - class Node AT ? 1. strine anot 2. Wode eTraes: an the naren The deas nemes in he blaw will he Part B-tlove Textist ef: an entrinte. - puelk vabs atdrucata istring word - mbis nas pareTectrowint iStrine 7eeri - mablin int tombayrorda if recointipe anthiph. ilite is attied). - gueic ead para ferintaiat fimreg teet opde you'se alrepts m then asd do not ouplurate sorfe. - Funlite int thomanyiordin 1) tenuetiki we har bent. 7+exi=0e+4+i= - Litr thin intat actor. Bintivitil - houdiu terias tedteding ofleh time wnita whic insentall th riat netroe ithter = Part C-clant Wordprobeasor fue tais netbed. Sobmistion rudefinedu *cus tode ahoub bo bugens and evetababe 6000 Luck. wort, the awmere at wouts that bege with beton iner tory al) beep the ir bur ul the worth = thes apoent in Ben tex. afdietionoris. talind Teneint but improunti the entive ant " a art Part A - class Node AT ? 1. strine anot 2. Wode eTraes: an the naren The deas nemes in he blaw will he Part B-tlove Textist ef: an entrinte. - puelk vabs atdrucata istring word - mbis nas pareTectrowint iStrine 7eeri - mablin int tombayrorda if recointipe anthiph. ilite is attied). - gueic ead para ferintaiat fimreg teet opde you'se alrepts m then asd do not ouplurate sorfe. - Funlite int thomanyiordin 1) tenuetiki we har bent. 7+exi=0e+4+i= - Litr thin intat actor. Bintivitil - houdiu terias tedteding ofleh time wnita whic insentall th riat netroe ithter = Part C-clant Wordprobeasor fue tais netbed. Sobmistion rudefinedu *cus tode ahoub bo bugens and evetababe 6000 Luck