5, 10 or 20 seats+ for your team - learn more
Welcome to the publishing industry! Imagine you work for a company that publishes scientific articles. Your task is to categorize these articles into different subject areas, empowering the company to gain a better understanding of their client base and serve them more effectively. In this liveProject series, you’ll use various graph techniques to look at the content in different ways. You’ll attempt to impute a graph structure from document similarity, then attempt to categorize the documents using graph embeddings generated from the provided citation graph. Finally, you’ll combine content signals from the text and graph signals from the citation graph to categorize these articles into a small set of subject areas.
These liveProjects are for Natural Language Processing (NLP) practitioners who have an intermediate level of knowledge of the Python programming language (especially in the NLP domain) and who are ready to uplevel their NLP skills by applying graph-based tools to their text corpora. To begin these liveProjects, you’ll need to be familiar with the following:
In this liveProject series, you’ll learn skills, tools, and techniques for applying powerful graph-based tools to text corpora for effective NLP:
geekle is based on a wordle clone.