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in AI and Deep Learning by (50.2k points)

I would like to have a word (e.g. "Apple) and process a text (or maybe more). I'd like to come up with related terms. For example: process a document for Apple and find that iPod, iPhone, Mac are terms related to "Apple".

Any idea on how to solve this?

1 Answer

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The technique called Latent Semantic Analysis (LSA) can be applied to your query. It is also known as Latent Semantic Indexing. The technique operates on the idea that related concepts occur together in the text. It uses statistics to build word relationships. Given a large collection of documents and data, it will definitely solve your problem of finding related words.

Latent Semantic Analysis is a technique in natural language processing So if you wish to learn about LSI and NLP visit this NLP Tutorial.

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