In case of input data being supplied to the question, it should be assumed to be a console input. Main author's Solution: Python 2 freq = {} # frequency of words in text line = raw_input() for word in line.split(): freq[word] = freq.get(word,0)+1 words = freq.keys() words...
split(): if w == word: count = count + 1 # printing result print("\'%s\' found %d times." %(word, count)) Output'text' found 2 times. 'is' found 1 times. 'Hello' found 0 times. To understand the above program, you should have the basic knowledge of the following Python ...
dist = round(math.sqrt(x**2 + y**2)) # euclidean distance = square root of (x^2+y^2) and rounding it to nearest integer print(dist) Question 22: Write a program to compute the frequency of the words from the input. The output should output after sorting the key alphanumerically....
For this, we will create a hashmap by which will store the words and their frequency of occurrence for both strings. And then print those words from the hashmap whose occurrence count is one. Program to find uncommon words from two string # Python program to find uncommon words from two ...
Write a Python program to count the number of characters (character frequency) in a string. Sample String : google.com' Expected Result : {'g': 2, 'o': 3, 'l': 1, 'e': 1, '.': 1, 'c': 1, 'm': 1} Click me to see the sample solution ...
2.7.1. Example: Word Frequency Suppose we want to find number of occurrences of each word in a file. Dictionary can be used to store the number of occurrences for each word. Lets first write a function to count frequency of words, given a list of words. def word_frequency(words):...
Write a Python program that creates two 'Counter' objects and finds their union, intersection, and difference. Click me to see the sample solution 5. Word Frequency Sorting Write a Python program that creates a counter of the words in a sentence and prints the words in ascending and descendin...
Question: Write a program that accepts a comma separated sequence of words as input and prints the words in a comma-separated sequence after sorting them alphabetically. Suppose the following input is supplied to the program: without,hello,bag,world Then, the output should be: bag,hello,without...
Your Turn: Choose a different section of the Brown Corpus, and adapt the preceding example to count a selection of wh words, such as what, when, where, who and why. Next, we need to obtain counts for each genre of interest. We’ll use NLTK’s support for conditional frequency distribut...
import os import numpy as np from collections import Counter from sklearn.naive_bayes import MultinomialNB, GaussianNB, BernoulliNB from sklearn.svm import SVC, NuSVC, LinearSVC from sklearn.metrics import confusion_matrix # Create a dictionary of words with its frequency train_dir = 'train-mails...