Question

The goal is to write a program that reads two novels, finds the top-k most common words in each, and displays any words that were common in one novel, but not the other. Here is my output for k = 20: $ python solution.py k= 20 Words used more in Pride and Prejudice: she be his for Words used more in Jane Eyre: you my is me This seems to mostly reflect the difference in narration: Pride and Prejudice is in third person, while Jane Eyre is first person. Do you see anything interesting for other values of k? More formally, these arc the requirements for the code you upload to canvas: Your code has an easy way to set k to different values Your code reads in the two novels Your code prints out a list of the words that were in the top-k most common words for the first novel, but not the second. It prints a seconds list for the reverse: common in the second novel, but not the first.

Answer 1

#The following is the code for the given problem statement you can give any number for k . as you did not mention anything about the input i took it as reading novels from text files.

# -*- coding: utf-8 -*-
"""
Created on Fri Dec 9 10:18:35 2016

@author: naresh
"""
import os
import operator
#import csv
os.chdir("/home/naresh/Desktop/HomeworkLib/")
l1=[]
l1 = list(input("Enter the Novel Names:").split(','))
list_of_words = []
dict1 = {}
dict2 = {}
wrds_l_n1 = []
wrds_l_n2 = []
def read_words2(words_file):
list_of_words.append([word for line in open(words_file, 'r') for word in line.split()])
for val in l1:
read_words2(val);
for val in list_of_words[0]:
if val not in dict1:
dict1[val] = 1
else:
dict1[val] += 1
sorted_dict1 = sorted(dict1.items(), key=operator.itemgetter(1))
#type(dict1)
for val in list_of_words[1]:
if val not in dict2:
dict2[val] = 1
else:
dict2[val] += 1
sorted_dict2 = sorted(dict2.items(), key=operator.itemgetter(1))
k = int(input("Enter a k value: "))
if len(sorted_dict1) >= k:
top_k_values_n1 = sorted_dict1[-k:]
else:
top_k_values_n1 = sorted_dict1
if len(sorted_dict2) >= k:
top_k_values_n2 = sorted_dict2[-k:]
else:
top_k_values_n2 = sorted_dict2

for val in top_k_values_n1:
wrds_l_n1.append(val[0])
for val in top_k_values_n2:
wrds_l_n2.append(val[0])
print("The top k words that are present in Novel1 but not in Novel2: ")
for val in wrds_l_n1:
if val not in wrds_l_n2:
print(val)

#print("\n")
print("The top k words that are present in Novel2 but not in Novel1: ")
for val in wrds_l_n2:
if val not in wrds_l_n1:
print(val)
  

Enter the Novel Names: AmericanPsycho.txt, TheLostTine.txt Enter a k value: 10 The top k words that are present in Novel1 but not in Nove12: you of there 311 ny The top k words that are present in Novel2 but not in Novel1: do We desires in US the it to we

TheLostTime.txt AmericanPsycho.txt 1 There is an idea of a Patrick Batenan some kind of abstraction but there is no real me only an entity sonething illusory and though I can hide my cold gaze and you can shake my hand and feel flesh gripping yours and naybe you can even sense our lifestyles are probably comparablel I simply am not there

AmericanPsycho.txt outcome ผe do not think of the outcome which generally comes to pass and is also favourable we do not succeed in changing things in accordance with our desires but gradually our desires change The situation that we hoped to change because it was intolerable becomes unimportant to us We have failed to surmount the obstacle as we were absolutely determined to do but life has taken us round it led us beyond tt and then if we turn round to gaze into the distance of the past we can barely see it so tmperceptible has t becone TheLostTime.txt to Sitcan wrnt e 1 We believe that we can change the things around us in accordance with our desires we believe it because otherwise we can see no favourable