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How can i know which categories of the text input belongs to?

Currently i have to did it manually flip around the taxonomy book and write down the category.I wish i could create a system that automatically find which categories are my input belongs to and output the name of the category.

Can some1 teach me how or giv me some ideas?

So if i input this "Change the开发者_Python百科 plan" then the output will be "Adaption P6" in "Psychomotor Domain" since the keyword change is under it. Below is the image of how the keywords are categorized ,its a small book.


You have basically answered your question yourself: Maintain a list of keywords belonging to the categories you want to assign, search for the keywords in the input text, then assign the categories if the keyword is found.

Depending on the content of the texts, this might prove insufficient, though: Simple keyword searches just don't measure up to a human editor doing classification. In any case, you should still allow a human reader to verify, and perhaps change, the results.

"Real" semantic searches are one of the most complex concepts in computer science, and I haven't ever heard of a project that successfully implemented one that could outperform a human.

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