**Word Frequency Dictionary Construction****Task: Implement the `build_dictionary()` Function**The goal is to create a function that constructs a word frequency dictionary from a given list of words.**Example 1:**- **Input Word List:** `["hey", "hi", "Mark", "hi", "mark"]`- **Output Dictionary:** `{'hey': 1, 'hi': 2, 'Mark': 1, 'mark': 1}`**Example 2:**- **Input Word List:** `["zyBooks", "now", "zyBooks", "later", "zyBooks", "forever"]`- **Output Dictionary:** `{'zyBooks': 3, 'now': 1, 'later': 1, 'forever': 1}`**Process Overview:**1. Convert the input string into a list of words.2. Use the `build_dictionary()` function to create a dictionary that maps each word to its frequency of occurrence.3. Display the dictionary, sorted by the word key.**Example of Full Process:**- **Input String:** `hey hi Mark hi mark`- **Output:** - `Mark: 1` - `hey: 1` - `hi: 2` - `mark: 1` This process efficiently organizes and displays word frequencies from any given text input.

Here, Code instruction is given. Code : def build_dictionary(text_string): list_words = text_string.split(" ") dic = {word:list_words.count(word) for word in list_words} return dic text_string = input()res = build_dictionary(text_string)for key in sorted(res): print("%s: %s" % (key, res[key])) Output :

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Implement the build_dictionary() function to build a word frequency dictionary from a list of words. Ex: If the words list is: ["hey", "hi", "Mark", "hi", "mark"] the dictionary returned from calling build_dictionary(words) is: {'hey': 1, 'hi': 2, 'Mark': 1, 'mark': 1}

Implement the build_dictionary() function to build a word frequency dictionary from a list of words. Ex: If the words list is: ["hey", "hi", "Mark", "hi", "mark"] the dictionary returned from calling build_dictionary(words) is: {'hey': 1, 'hi': 2, 'Mark': 1, 'mark': 1}

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

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Concept explainers

Merge sort

Merge Sort recursively sorts a given collection of numbers or elements by using the divide and conquer strategy in less time. It is one of the most used algorithms, with the worst-case time complexity of O (n log n). It was invented by John Von Neumann. The algorithm continuously divides an array into sub-arrays until each sub-array consists of a single element. It then merges those sub-arrays to produce a sorted array.

Question

**Word Frequency Dictionary Construction**

**Task: Implement the `build_dictionary()` Function**

The goal is to create a function that constructs a word frequency dictionary from a given list of words.

**Example 1:**

- **Input Word List:** `["hey", "hi", "Mark", "hi", "mark"]`
- **Output Dictionary:** `{'hey': 1, 'hi': 2, 'Mark': 1, 'mark': 1}`

**Example 2:**

- **Input Word List:** `["zyBooks", "now", "zyBooks", "later", "zyBooks", "forever"]`
- **Output Dictionary:** `{'zyBooks': 3, 'now': 1, 'later': 1, 'forever': 1}`

**Process Overview:**

1. Convert the input string into a list of words.
2. Use the `build_dictionary()` function to create a dictionary that maps each word to its frequency of occurrence.
3. Display the dictionary, sorted by the word key.

**Example of Full Process:**

- **Input String:** `hey hi Mark hi mark`
- **Output:**
- `Mark: 1`
- `hey: 1`
- `hi: 2`
- `mark: 1`

This process efficiently organizes and displays word frequencies from any given text input.

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