Step 1 Import necessary libraries for natural language processing tasks.
Step 2: Download NLTK resources, including the punkt tokenizer and stopwords.
Step 3: Define Text Preprocessing Function to tokenize, remove stopwords, and perform stemming.
Step 4: Define the Text Summarization Function using a simple frequency-based approach.
- Calculate the frequency of each word in the preprocessed text.
- Calculate a score for each sentence based on the sum of word frequencies.
- Select the top N sentences with the highest scores to form the summary.
Step 5: Construct the main program to read the paragraph and perform text summarization
- Generate and print the original text.
- Generate and print the text summary using the Text Summarization function
Insert your code here
Show your results here
Thus ,the program to perform the Text summarization is executed sucessfully.
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