Question

In: Computer Science

Word Frequencies (Concordance)    1. Use a text editor to create a text file (ex: myPaper.txt)...

Word Frequencies (Concordance)   

1. Use a text editor to create a text file (ex: myPaper.txt) It should contain at least 2 paragraphs with around 200 or more words.

2. Write a Python program (HW19.py) that

  • asks the user to provide the name of the text file. Be SURE to check that it exists!
    Do NOT hard-code the name of the file! Use the entry provided by the user!
  • read from the text file
  • NOTE: (write your program so that it ONLY works if it reads from the file specified by the user).

3. Your program will produce a dictionary of words with the number of times each occurs. It maps a word to the number of times the word occurs

  • Key: a word
  • Value: the number of times the word occurs in the text. The report should be an ALPHABETIZED output table, listing the word and the number of occurrences.

NOTES:

  • The input sequence can be words, numbers or any other immutable Python object, suitable for a dict key.
  • Ignore case – apple is the same as Apple is the same as APPLE, etc.
  • Discard all punctuation and extra white space (newlines, tabs, blanks, etc.).
  • Put the words into a dictionary. The first time a word is seen, the frequency is 1. Each time the word is seen again, increment the frequency. NOTE: you are REQUIRED to use the dictionary class for this assignment.
  • Produce a frequency table. To alphabetize the frequency table, extract just the keys and sort them. This sorted sequence of keys can be used to extract the counts from the dict.
  • Make sure that your output (the table) is formatted so that the columns are aligned, and so that there are titles for each column.
  • Be sure to modularize your code, using functions appropriately.
  • The main function should be clean and easy to read, calling the functions with meaningful names. Pass parameters – do not use global variables.

BONUS +5 pts:

  • Create a menu-driven front-end to this application.
    • First, populate the dictionary from the file
    • Next, provide a menu that allows the user to
      • Add words to the dictionary
                after asking the user for the word to add
                Note: the count should increase if the word is already there)
      • Check if a word is already in the dictionary
      • Delete a word from the dictionary after asking the user for the word to delete
      • Print the dictionary entries in table form as described above.
  • Allow the user to continue using the menu until they choose the option to quit.

Solutions

Expert Solution

This is python program which opens mypaper.txt file and find the occurences of words in the file and display it in alphabetical order.

#HW19.py

from collections import *
def frequency_sortedwords(n):
f = open(n, "r")
s=f.read()
l=s.split()

for i in l:

if( ord(i[-1])<65 or ord(i[-1])>90 or ord(i[-1])<97 or ord[-1]>122 or i=='.' or i==','):

i=i[ :-1]

d=Counter(l)
d1=dict(d)
print("\t\t\t\tWord\t\t\t\tNo. of occurence")
for k, v in d1.items():
print ("%40s\t%10d" % ( k, v))

#main

n=input("Enter filename:")
frequency_sortedwords(n)

mypaper.txt

Algorithms are used to manipulate the data contained in data structures
When working with data structures algorithms are used to perform operations on the stored dataA complex algorithm is often divided into smaller units called modules
This process of dividingan algorithm into modules is called modularization
The key advantages of modularization are as follows:
It makes the complex algorithm simpler to design and implement
Each module can be designed independently While designing one module the details of other modules can be ignored thereby enhancing clarity in design which in turn simplifiesimplementation debugging testing documenting and maintenance of the overall algorithm
There are two main approaches to design an algorithm top-down approach and bottom-up approachTop-down approach: A top-down design approach starts by dividing the complex algorithm into one or more modules
These modules can further be decomposed into one or more sub-modules and this process of decomposition is iterated until the desired level of module complexity is achieved
Top-down design method is a form of stepwise refinement where we begin with the
topmost module and incrementally add modules that it calls
Therefore in a top-down approach we start from an abstract design and then at each step this design is refined into more concrete levels until a level is reached that requires no further refinementBottom-up approach
A bottom-up approach is just the reverse of top-down approach In the bottom-up design we start with designing the most basic or concrete modules and then proceed towards designing higher level modules
The higher level modules are implemented by using the operations performed by lower level modules
Thus in this approach sub-modules are grouped together to form a higher level module All the higher level modules are clubbed together to form even higher level modules This process is repeated until the design of the complete algorithm is obtained


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