Whether you’re a writer, data scientist or just skimming through sources to get a job done, reading longer texts to pluck out crumbs of information can be quite exhausting. Automating such elements of your work allows you to focus on the creative side of things.
Text summarization is the technique of extracting key informational elements of a voluminous text. Manual text summarization is a difficult and time-expensive task, so NLP and machine learning algorithms became popular to automate it.
There are ready-made solutions on the market, whether in the form of libraries or ready-made tools for end-users.
In this article, we will prepare our own tailored solution, which at the same time does not require advanced knowledge of data science.