Natural Language Processing for Text Summarization
Understand the basic theory and implement three algorithms step by step in Python! Implementations from scratch!
4.49 (392 reviews)
16,002
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
4059902
udemy ID
5/18/2021
course created date
6/1/2021
course indexed date
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