nlp text summarization python
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Natural Language Processing (NLP) text summarization is the process of condensing a document or a piece of text while retaining its key information. In this tutorial, we'll explore how to perform text summarization using Python and the popular library called Gensim.
Firstly, make sure you have the necessary libraries installed. You can install them using the following:
Before summarizing text, it's crucial to preprocess it. We'll use the NLTK library for tokenization and stopword removal.
Now, let's use Gensim's summarize function for text summarization.
Let's use a simple example to demonstrate how to use the functions.
This example demonstrates the basic usage of the text summarization functions we implemented. Feel free to experiment with different texts and adjust parameters to see how well the summarization works for your specific use case.
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