Automatically extract concepts and and keywords from a text
In this digital age, where information is made ever-more available, the task of reading and summarizing large amounts of text has become increasingly time consuming. Using keywords and descriptive terms is absolutely essential in an effort to categorize large amounts of information and ultimately save time. However, doing this by hand is not a sustainable approach and the process has thus been automated.?
There currently exist a number of methods to extract relevant keywords from text or a paragraph, but how do you know which one is the most efficient? Where do we begin when differentiating one from another?
In the article below, Damien Garaud, a member of the Oncrawl team, talks about automatically extracting keywords from a text. He presents the overall context as well as the associated restraints, and then goes on to detail the so-called “traditional” methods that utilize Natural Language Processing (NLP).