Natural Language Processing for Text Summarization
Understand the basic theory and implement three algorithms step by step in Python! Implementations from scratch!
4.49 (396 reviews)
16 023
students
5 hours
content
Apr 2023
last update
$69.99
regular price
What you will learn
Understand the theory and mathematical calculations of text summarization algorithms
Implement the following summarization algorithms step by step in Python: frequency-based, distance-based and the classic Luhn algorithm
Use the following libraries for text summarization: sumy, pysummarization and BERT summarizer
Summarize articles extracted from web pages and feeds
Use the NLTK and spaCy libraries and Google Colab for your natural language processing implementations
Create HTML visualizations for the presentation of the summaries
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4059902
udemy ID
18/05/2021
course created date
01/06/2021
course indexed date
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