Inverted_Index-using-python

Inverted index model using python

Step 1: Prepare the data

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.

Step 2: Build the index

The index is typically an inverted index, which maps each term to the documents that contain that term.