What is Automated Text Summarization?

Automated text summarization is the process of using natural language processing (NLP) tools to produce concise versions of text that preserve all the key information present in the original content.

Content providers have adapted to our change in reading habits and it's now quite conventional to see shorter articles and posts. The other key adaptation has been providing summaries and time estimates for content. These features are developed via NLP and there has been continuous progress in the development of techniques and tools for text summarization.

Some of these tools are frameworks, such as Gensim and NLTK, that contain algorithms for text summarization. They also have easy-to-use interfaces. These have become quite useful for machine learning engineers and data scientists, who are continuously looking at solving business problems without having to know too much about the research that happened behind the scenes. We will be looking...