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The world this week (In the world of AI).
![Word Co-occurrence Matrix [Example]](https://images.unsplash.com/photo-1491234323906-4f056ca415bc?crop=entropy&cs=tinysrgb&fit=max&fm=jpg&ixid=MnwxMTc3M3wwfDF8c2VhcmNofDJ8fHdvcmRzJTIwbWF0cml4fGVufDB8fHx8MTY1NzkyMTc0NA&ixlib=rb-1.2.1&q=80&w=600)
Yesterday we discussed about Word Co-occurrence Matrix, today we will discuss how to create one.
A co-occurrence matrix is a table that displays the frequency with which two words or phrases appear together in a text.
There are many ways to improve the performance of a word2vec model.
Word2vec is a deep learning model that helps computers understand the relationships between words.
There is something truly magical about natural language processing (NLP)
Embeddings have become an important tool in natural language processing (NLP).
