Managing Textual Documents with Neural Networks and NLP – Dr. Joseph Sutherland

Play Video

Recent Insights

Textual documents are ubiquitous in our personal and professional lives, with massive amounts of data generated every day. At Data Science Connect, we explore how neural networks and natural language processing (NLP) are transforming the way we manage and analyze textual documents.

Discover the latest developments in NLP and neural networks, including word embeddings, recurrent neural networks, and long short-term memory networks. Learn how these techniques are being applied in industries such as finance, healthcare and customer service. Explore real-world examples of how companies are using NLP and neural networks to extract valuable insights from textual documents.

“The legal industry is officially in the running for the longest gestation period of any technology, ever.”

Joe Sutherland

Head of Data Science at Search Discovery

Receive the latest news

Subscribe to Our Newsletter