Word Embedding (Python) is a technique to convert words into a vector representation. Computers cannot directly understand words/text as they only deal with numbers. So we need to convert words into ...

Think about someone you’d call a friend. What’s it like when you’re with them? Do you feel connected? Like the two of you are in sync? In today’s story, we’ll meet two friends who have always been in ...

Some people say that we're living in a pivotal moment. They argue that the era of ESG being little more than a marketing buzzword is over. They claim that it has lost its shine. And, whilst it may be ...

What exactly is strategic foresight? And how can it be effectively integrated into planning and management to help organizations think, act, and learn more strategically? Join host Michael J. Keegan ...

ABSTRACT: Since transformer-based language models were introduced in 2017, they have been shown to be extraordinarily effective across a variety of NLP tasks including but not limited to language ...

Abstract: Word embedding has become an essential means for text-based information retrieval. Typically, word embeddings are learned from large quantities of general and unstructured text data. However ...

GenAI isn’t just revolutionizing software—it’s poised to reshape the physical world in ways that solve some of society’s most urgent challenges. One of the most pressing is agriculture. As the global ...

ABSTRACT: In the field of equipment support, the method of generating equipment support sentence vectors based on word vectors is simple and effective, but it ignores the order and dependency ...

Recently, NPR’s "It’s Been A Minute" host Brittany Luse noticed the resurgence of a word online: the "R-word." It's something she thought had previously been banished from discourse. But with somewhat ...