Introduction to Word and Sentence Embedding

In the field of Natural Language Processing (NLP), the use of word and sentence embeddings has revolutionized the way we analyze and understand language. Word embeddings and sentence embeddings are numerical representations of words and sentences, respectively, that capture the underlying semantics and meaning of the text.

In this blog post, we will discuss what word and sentence embeddings are, how they are created, and how they can be used in NLP tasks. We will also provide some Python code examples to illustrate the concepts.