July 2017
Beginner to intermediate
486 pages
13h 49m
English
Content preview from Python Natural Language Processing
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Semantic tools and resources
Trying to get the accurate meaning of a natural language is still a challenging task in the NLP domain, although we do have some techniques that have been recently developed and resources that we can use to get semantics from natural language. In this section, we will try to understand these techniques and resources.
The latent semantic analysis algorithm uses term frequency - inverse document Frequency (tf-idf) and the concept of linear algebra, such as cosine similarity and Euclidean distance, to find words with similar meanings. These techniques are a part of distributional semantics. The other one is word2vec. This is a recent algorithm that has been developed by Google and can help us find the semantics of ...
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