Inverted index model using python
You need to prepare the data for indexing and retrieval. This involves reading in the documents, preprocessing them (tokenization, stopwords removal, stemming and Lower Case) using NLTK library, and storing them in a data structure that can be indexed.
The index is typically an inverted index, which maps each term to the documents that contain that term.