Understanding how words are stored in dictionary of gensim corpus after using "gensim.corpora.Dictionary(TEXT)"

After converting a list of text documents to corpora dictionary and then converting it to a bag of words model using:

dictionary = gensim.corpora.Dictionary(docs) # docs is a list of text documents corpus = [dictionary.doc2bow(doc) for doc in docs] 

We can find out the index value of particular words in the dictionary using:

dictionary.doc2idx(["righteous","height"]) 

Is there any way to find the word stored in dictionary at particular index?

1 Answer

TL;DR:

dictionary.get(index_of_word)

Example:

import gensim docs=[['hello', 'world'],['i','am', 'groot']] dictionary = gensim.corpora.Dictionary(docs) # docs is a list of text documents corpus = [dictionary.doc2bow(doc) for doc in docs] print(dictionary.get(0)) print(dictionary.get(3)) 

Output:

hello groot 

Hope that helps!