Program: Format Email Messages Using NLP

Below is a Python program that uses Natural Language Processing (NLP) techniques to format email messages. The program cleans and structures the email text to improve readability and effectiveness.

import re
import nltk
from nltk.tokenize import sent_tokenize, word_tokenize
from nltk.corpus import stopwords
from nltk.stem import WordNetLemmatizer

# Download necessary NLTK resources
nltk.download('punkt')
nltk.download('stopwords')
nltk.download('wordnet')

def preprocess_email(email_text):
    """
    Preprocess the email text by cleaning, tokenizing, and formatting it.
    """
    # Convert text to lowercase
    email_text = email_text.lower()

    # Remove special characters and numbers
    email_text = re.sub(r'[^a-zA-Z\s]', '', email_text)

    # Tokenize sentences
    sentences = sent_tokenize(email_text)

    # Tokenize words and remove stopwords
    stop_words = set(stopwords.words('english'))
    lemmatizer = WordNetLemmatizer()
    formatted_sentences = []

    for sentence in sentences:
        words = word_tokenize(sentence)
        filtered_words = [lemmatizer.lemmatize(word) for word in words if word not in stop_words]
        formatted_sentence = ' '.join(filtered_words)
        formatted_sentences.append(formatted_sentence)

    # Join sentences into a formatted email
    formatted_email = '\n'.join(formatted_sentences)
    return formatted_email

def format_email_subject(subject):
    """
    Format the email subject by capitalizing the first letter of each word.
    """
    return subject.title()

def format_email(sender, recipient, subject, body):
    """
    Format the entire email with sender, recipient, subject, and body.
    """
    formatted_subject = format_email_subject(subject)
    formatted_body = preprocess_email(body)

    email_message = f"""
    From: {sender}
    To: {recipient}
    Subject: {formatted_subject}

    {formatted_body}
    """
    return email_message

# Example usage
sender = "john.doe@example.com"
recipient = "jane.smith@example.com"
subject = "meeting reminder"
body = """
Hello Jane, I hope you are doing well. This is a reminder about our meeting tomorrow at 10 AM.
Please bring the project report. Thank you!
"""

formatted_email = format_email(sender, recipient, subject, body)
print(formatted_email)

Explanation of the Program

Preprocessing Email Text:
- The preprocess_email function cleans the email body by converting it to lowercase, removing special characters and numbers, and tokenizing sentences and words.
- Stopwords (e.g., “the”, “is”, “and”) are removed to focus on meaningful words.
- Words are lemmatized (e.g., “running” → “run”) to normalize the text.
Formatting Email Subject:
- The format_email_subject function capitalizes the first letter of each word in the subject to make it more professional.
Formatting the Entire Email:
- The format_email function combines the sender, recipient, formatted subject, and preprocessed body into a structured email message.
Example Usage:
- The program demonstrates how to format an email with a sender, recipient, subject, and body.

Output Example

    From: john.doe@example.com
    To: jane.smith@example.com
    Subject: Meeting Reminder

    hello jane hope well reminder meeting tomorrow 10 am please bring project report thank

Benefits of Using NLP for Email Formatting

Improved Readability: By removing unnecessary words and normalizing text, the email becomes easier to read.
Consistency: NLP ensures that emails follow a standardized format, making them more professional.
Automation: This program can be integrated into email automation workflows to save time and effort.

This program is a simple yet effective way to format email messages using NLP techniques.

Natural Language Processing

Fundamental Concepts

Text Processing & Cleaning

Tools, Libraries & APIs

Program(s)

Program: Format Email Messages Using NLP

Explanation of the Program

Output Example

Benefits of Using NLP for Email Formatting