# Distributional Semantics

**Distributional semantics** represents the meaning of words based on their distributional properties in large corpora of text. It follows the distributional hypothesis, which states that "words with similar meanings tend to occur in similar contexts".

## Contents

* [Distributional Hypothesis](https://emory.gitbook.io/nlp-essentials/distributional-semantics/distributional-hypothesis)
* [Word Representations](https://emory.gitbook.io/nlp-essentials/distributional-semantics/word-representations)
* [Latent Semantic Analysis](https://emory.gitbook.io/nlp-essentials/distributional-semantics/latent-semantic-analysis)
* [Neural Networks](https://emory.gitbook.io/nlp-essentials/distributional-semantics/neural-networks)
* [Word2Vec](https://emory.gitbook.io/nlp-essentials/distributional-semantics/word2vec)
* [Homework](https://emory.gitbook.io/nlp-essentials/distributional-semantics/homework)