Mastering Data Mining with Python – Find patterns hidden in your data

Summary

Automatic text summarization is a field that is growing in importance as the volume of data in the world increases. There are numerous approaches to text summarization, but all of them rely on the construction of mathematical representations of the words and sentences in a document, then, through extractive or abstractive methods, building a program that can reduce a document to its most important parts. We reviewed three of the common extractive summarization libraries that can be integrated into our Python code: an NLTK-based summarizer, a Gensim-based approach, and a new package called Sumy with its numerous embedded summarizers. We then compared the different approaches to text summarization by using the same text sample and passing ...