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June 19, 2018 02:35
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Get Top words for each class (multi-class text classification)
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| def find_top_words(class,n): | |
| ind = np.argpartition(list(vect_data.loc[class]),-n)[-n:] | |
| top_words=[] | |
| for index in ind: | |
| top_words.append([list(vect.vocabulary_.keys())[list(vect.vocabulary_.values()).index(index)], | |
| list(vect_data.loc[code])[index]]) | |
| return top_words | |
| #test the function on class 'ACON'. Grab the top 6 words | |
| find_top_words('ACON',6) |
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