Class Work 1: Word Frequency Analyzer

🧑‍🎓 Student Information

• Name: Muhammad Sarim Shah
• Roll Number: 22K4299
• Course: Software for Mobile Devices

---

📖 Overview

This project demonstrates a simple Dart program designed to analyze sentences and calculate word frequency. The program identifies how many times each word appears and determines the most frequent word in each sentence.

Learning Objectives

The purpose of this task is to practice:

• Basic Dart Programming: Syntax and structure.
• Data Structures: Working with Lists and loops.
• String Manipulation: Cleaning and splitting text.
• Algorithms: Basic frequency counting logic.

---

⚙️ Program Description

The program processes a list of sentences through the following logical steps:

1. Normalization: Converts the sentence to lowercase for case-insensitive comparison.
2. Tokenization: Splits the sentence into individual words.
3. Iteration: Loops through each word to count occurrences.
4. Deduplication: Stores unique words to avoid redundant counting.
5. Analytics: Displays the frequency of each word and identifies the most frequent one.

---

📊 Example Data & Output

Sentences Used

• this is a test this is
• hello hello world
• dart is fun fun fun

Sample Output

Sentence: this is a test this is

• 'this' -> 2
• 'is' -> 2
• 'a' -> 1
• 'test' -> 1

Result: Most frequent word: 'this' with count = 2

---

🛠️ Concepts Used

Concept	Application
Dart List	To store the collection of sentences and word tokens.
For Loops	To iterate through the words for counting.
String Functions	toLowerCase(), split(), and trim().
Conditional Statements	To compare counts and find the maximum frequency.

---

🚀 How to Run the Program

1. Install Dart: Ensure you have the Dart SDK or Flutter environment installed.
2. Create File: Copy the source code into a file named main.dart.
3. Run: Execute the following command in your terminal:

   dart run main.dart

---

🏁 Conclusion

This class work demonstrates how to process text in Dart and compute word frequencies using simple loops and lists. It helps in understanding basic data processing techniques commonly used in applications such as text analysis and search engines.