I need to generate lists of words related to specific topics for a project. I am familiar with clustering methods of topic modeling such as LDA, but I have something else in mind. Are there any methods to generate lists of related words from a root word? For instance, where I could type "medicine" and it would return a list of words or terms related to medicine, such as "doctor", "malpractice", "office", etc.?
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2 Answers
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You could try using word2vec: It orders words in vector space according to context, it allows you to retrieve words with similar context.
You can find pretrained models on the web.
answered Feb 20, 2018 at 10:49
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$\begingroup$ Thank you! This is the approach I ended up taking. It occurred to me because I was already going to be using word2vec for a later aspect of the same project. $\endgroup$ Feb 20, 2018 at 17:03
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I think instead of building something from scratch, you should utilize the domain knowledge of experts.
One example: Turn Wikipedia's topic portals (e.g., the medicine portal) into a family tree.
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$\begingroup$ Hi Elias. Very insightful answer! $\endgroup$ Feb 18, 2018 at 16:48