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**Purpose:**
To practice using lists and loops in Python.

**Degree of Difficulty:**
Easy – Moderate

**Problem Description:**
Textual analysis is a method used in the humanities and social sciences to describe, interpret, and understand texts. A text can be a piece of writing, such as a book, email, social media communication, or a transcribed conversation like an interview. It can also be any object whose meaning and significance you want to interpret in depth: a film, an image, an artifact, or even a place. One of the tools used in textual analysis is word frequency. Word frequencies are often used to develop a word cloud.

In this assignment, you will develop a program that counts the frequency of words found in a text. You will be given a text to analyze and a list of exclusions—words for which frequencies are not required (e.g., the, a, of, at, for, or, and, be).

After analyzing the text, for each word, your program will print the words found and the number of times (frequency) each word was used in the given text.

**Example:**
Given the text "red blue green green the the thee thee a red red black" (note: "thee" is intentional) and the exclusion words (the, a, of, at, for, or, and, be), your program will produce the following results:

```
red 3
blue 1
green 2
thee 2
black 1
```

**Solution Approach:**
- Use one list (L1) to keep track of the words found in the text.
- Use a second list (L2) to keep track of the number of times each word was used.
- The lists L1 and L2 are used only for illustrative purposes (you should choose more meaningful variable names).
- After completing the program, the contents of the two lists may look as follows (based on the example text):

| Offset | L1 | L2 |
|--------|-------|----|
| 0 | red | 3 |
| 1 | blue | 1 |
| 2 | green | 2 |
| 3 | thee | 2 |
| 4 | black | 1 |

**Notes:**
- Do not use a dictionary.
- You may use other lists for different purposes but must use the two lists outlined above.

**Programming Suggestions:**
- Remove any punctuation found in the text to prevent it from appearing as part of a word. The `.replace()` method can be used for this. The provided starter program includes this code.
- Use the `.split()` string method to convert the given text (a string) into a list of words.
- Exclude words in the exclusions list from frequency counts using one of the following approaches:
- Ignore the word if it is on the exclusion list while processing the words in the text.
- Remove all words to be excluded from the list after using `.split()` before starting the counts.

Once the words are processed, print each word found in the text and its frequency.

**Starter Program:**
A starter program (`a5q2_starter.py`) is provided. The program contains two texts:
1. "red blue green green the the thee thee a red red black" for testing and debugging your program.
2. A text from Martin Luther King’s "I Have a Dream" speech, which is commented out using a docstring. After ensuring your program works, remove the docstring and use this text.

Answer :

By creating two lists: one to store the unique words found in the text and another to store the corresponding frequencies of those words.

How can we analyze the frequency of words in a text using Python?

The problem involves counting the frequency of words in a given text while excluding certain words from the count. To solve this, we can use two lists: one to keep track of the unique words found in the text (L1), and another to keep track of the frequency of each word (L2).

The program should remove any punctuation from the text using the `.replace()` method and split the text into a list of words using the `.split()` method. We should iterate through each word in the list and check if it is in the exclusion list.

If not, we increment the frequency count of that word. Finally, we print each word and its frequency. The provided starter program contains example texts to test the program.

Learn more about frequency

brainly.com/question/29739263

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