Text Summarizer

This script is a Python implementation of a Text Summarizer. It automatically generates a summary of a given text.

Libraries used

• Rake: A Python implementation of the Rapid Automatic Keyword Extraction algorithm.
• WordCloud: A Python library for generating word clouds.
• NumPy: A Python library for the computation with arrays and matrices.
• Pandas: A Python library for data manipulation and analysis.
• Matplotlib: A Python library for creating visualizations in Python.
• NLTK: A Python library for natural language processing.

Text Data Preparation

The script loads the text data from a file sample.txt and generates a word cloud image of the text.

Data Pre-processing

The script performs the following pre-processing steps on the text data:

1. Elimination of punctuations
2. Elimination of stopwords
3. Creation of word frequency

Text Summarization

The script generates a summary of the text using the following steps:

1. Creation of sentence frequency
2. Selection of top sentences based on sentence score

How to use

To use this script, you need to have the following libraries installed:

• Rake
• WordCloud
• NumPy
• Pandas
• Matplotlib
• NLTK

You also need to provide the text data in a file sample.txt.

Run the script to generate the summary of the text. The summary will be displayed in the console.

Link

Google colab file can be found here