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Convert Text to Acronyms in Python – A Complete Guide

An acronym is a shortened version of a long phrase, for instance, we have NLP for natural language processing . They are widely used in the world of programming, data science, and even in our daily life. They help simplify lengthy phrases or names into short, easily recognizable terms. This not only saves space but also makes reading more efficient and easy to comprehend.

In this comprehensive Python tutorial, we will demonstrate how to create an acronym generator using Python.

While spelling out the whole word takes longer, saying or writing the first initial of each word or an abbreviated form of the full word takes less time. In programming, as well as in everyday speech, employing acronyms and abbreviations can make communication more efficient.

Python, owing to its simplicity and effective string-handling capabilities, is an ideal language for creating an acronym generator. Python’s prowess in natural language processing tasks further justifies its use for this application. With Python, we can efficiently break down sentences and extract required components.

Also read: Crypto Price Prediction with Python

Converting Text to Acronyms – Acronym Generator in Python

To implement acronyms, our aim is to generate a short form of a word from a given sentence. In this tutorial, our aim is to demonstrate how to create an acronym generator in Python. The same can be done by splitting and indexing to get the first word and then combining it.

Within the Python ecosystem, we leverage several built-in methods for this task. The split() function is used to break down the sentence into individual words. The upper() function assists in maintaining the convention of having acronyms in uppercase. This section gives an insight into how Python handles strings and utilizes lists and for loops

Look at the code mentioned below and then we will go inside the code line by line.

• Line 1 takes the input of the Phrase which needs to be converted into an acronym with the help of the input function.
• Line 2 will convert the sentence into a list of words with the help of the split function which will by default split the sentence on the basis of whitespaces.
• Line 3 is initializing the final acronym with an empty string which will be changed later on.
• From Line 4 and Line 5 , we have a loop that will add the first letter of each word as a character in the final acronym.
• The acronyms always include uppercase letters hence, each first letter in every word is converted to uppercase regardless of their previous case with the help of the upper function.
• From Line 7 to Line 9 will display the final acronym that has been created with the help of loops and print statements.

This acronym generator has potential applications in data preprocessing for Natural Language Processing (NLP) tasks, or in automating the process of acronym creation in large documents or articles. Furthermore, the code can be improved to handle punctuation and mixed case phrases, extending its utility

Output examples of creating acronym using Python

The images below display some sample outputs after executing the code mentioned in the previous section.

By now, you should have a solid understanding of how to create an acronym generator in Python. This practical tool can simplify long phrases into manageable terms. As you continue to grow in your Python programming journey, what other applications can you envision developing to make everyday tasks easier?

Want to learn more? Check out the tutorials mentioned below:

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Python – Create acronyms from words

Given a string, the task is to write a Python program to extract the acronym from that string.

Input: Computer Science Engineering Output: CSE Input: geeks for geeks Output: GFG Input: Uttar pradesh Output: UP

Approach 1:

The following steps are required:

• Take input as a string.
• Add the first letter of string to output.
• Iterate over the full string and add every next letter to space to output.
• Change the output to uppercase(required acronym).

Time Complexity: O(n) -> looping once through string of length n.

Space Complexity: O(n) -> as space is required for storing individual characters of a string of length n.

Approach 2:

• Split the words.
• Iterate over words and add the first letter to output.

Time Complexity: O(n) -> looping once through an array of length n.

Space Complexity: O(n) -> as space is required for storing individual characters of a string and an array of length n.

Approach 3: Using regex and reduce()

Here’s one approach using regular expressions (regex) to extract the first letter of each word and reduce function to concatenate them:

Auxiliary Space: O(n) -> as space is required for storing individual characters of a string and an array of length n.

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Acronym in Python

Suppose we have a string s that is representing a phrase, we have to find its acronym. The acronyms should be capitalized and should not include the word "and".

So, if the input is like "Indian Space Research Organisation", then the output will be ISRO

To solve this, we will follow these steps −

tokens:= each word of s as an array

string:= blank string

for each word in tokens, do

if word is not "and", then

string := string concatenate first letter of word

return convert string into uppercase string

Let us see the following implementation to get better understanding −

 Live Demo

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Acronyms Using Python

• January 13, 2021
• Machine Learning

An acronym is a short form of a word created by long words or phrases such as NLP for natural language processing. In this article, I will walk you through how to write a program to create acronyms using Python.

Create Acronyms using Python

To create acronyms using Python, you need to write a python program that generates a short form of a word from a given sentence. You can do this by splitting and indexing to get the first word and then combine it. Let’s see how to create an acronym using Python:

Enter a Phrase: Artificial Intelligence AI

In the above code, I am first taking a string user input, then I am using the split() function in Python for splitting the sentence. Then I declared a new variable ‘a’ to store the acronym of a phrase.

Also, Read – 100+ Machine Learning Projects Solved and Explained.

Then at the end, I am running a for loop over the variable ‘text’ which represents the split of user input. While running the for loop we are storing the index value of str[0] of every word after a split and turning it into an uppercase format by using the upper() function.

This is a great python program to test your logical skills. These types of programs contribute a lot to your coding interviews. So you should keep trying such programs to develop a good understanding of creating algorithms to perform well in your coding interviews.

I hope you liked this article on how to create acronyms with the Python programming language. Feel free to ask your valuable questions in the comments section below.

Aman Kharwal

Data Strategist at Statso. My aim is to decode data science for the real world in the most simple words.

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13 Comments

Not sure if your code is correct or the full code.

The code is correct, open it on a desktop site you will get to see the complete code

Hi Aman, I can’t find how to thank u, but it’s so kind of you, thank u so much dude, I wish you a good luck

Thank you so much, keep visiting

Hello Sir, actually i starting my carrier in python as a beginner .. can you help me for python technical round coding questions .. it’s very tough for finding it.. if you share your blog or other link ….i will be thankfully of you.. and your contribution in knowledge share is amazing …salute sir

Here is an article based on the most popular coding interview questions solved using Python.

thank you so much

keep visiting

Thanks Aman for the great work. As a beginner ,i can’t think of a better place than this one.Thanks again

keep visiting 🤝

Thanks man. For such a detailed exploration of the projects. Very useful to me

keep visiting 😀🤝

hi Aman sir , I am just now started your projects ..it helps me in interviews…thank you so much

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5 Best Ways to Create Acronyms in Python

💡 Problem Formulation: When working with text data, it’s common to need to extract an acronym from a phrase or a name. For instance, given the input ‘Asynchronous Javascript and XML’, we desire the output ‘AJAX’. The following article provides various approaches to automate acronym generation in Python.

Method 1: Using List Comprehension and Join

This method involves breaking the string into words, then using list comprehension to extract the first letter of each word and joining these letters together. The split() function is used to break the string into words, and the join() function combines the first letters into the acronym.

Here’s an example:

This function takes a phrase, converts it to uppercase, splits it into words, and then uses list comprehension to generate the acronym by joining the first letter of each word.

Summary/Discussion

• Method 1: List Comprehension and Join. Strengths: concise and straightforward. Weaknesses: less readable for beginners.
• Method 2: Function with For Loop. Strengths: clear and readable, easy to maintain. Weaknesses: more verbose compared to one-liners.
• Method 3: Regular Expressions. Strengths: powerful and capable of handling complex patterns. Weaknesses: can be harder to understand and debug.
• Method 4: Map and Lambda Functions. Strengths: leveraging functional programming, concise. Weaknesses: lambda might be less clear for those unfamiliar with the concept.
• Bonus Method 5: List Comprehension in Function. Strengths: very concise, efficient, and still clear. Weaknesses: may sacrifice some readability for conciseness.

The lambda function takes each word from the split phrase, extracts the first character, converts it to uppercase, and then using the join() function, combines these characters into an acronym.

Bonus One-Liner Method 5: Using List Comprehension in a Function

A compact one-liner inside a function encapsulates the list comprehension technique. This approach is both readable and concise.

The regular expression r'\b\w' finds all the word boundaries followed by an alphanumeric character, which effectively gives us the first letter of each word. These letters are then joined and converted to uppercase to form the acronym.

Method 4: Using map and lambda Functions

The map() function applies a lambda function to each word in the string to extract its first character. This method is useful for one-liners and can also be considered a functional programming approach to the problem.

The generate_acronym function capitalizes the entire phrase, splits it into separate words, then iterates over each word, accumulating the first letter of each to create the acronym, which is finally returned.

Method 3: Using Regular Expressions

Regular expressions provide a powerful way to extract the first letter of each word without explicitly splitting the string. We can use the regex pattern to match the beginning of each word and compile an acronym from these matches.

This code snippet splits the string phrase into a list of words, converts each word to upper case, takes the first character of each, and then joins those characters back into a string to form the acronym.

Method 2: Using a Function with a For Loop

Creating a reusable function that goes through each word in a phrase and compiles an acronym using a for loop gives more control over the process and allows for easy reuse. We define a function generate_acronym() to encapsulate this process.