Ranker

[Fennec2000GH]

Description

Build ranking functionality for a set of documents. The ranking criteria can be as simple as the number of keywords mined. Other criteria include relevance to a queried topic and readability level.

Objectives

1. Find some metrics that can be used to score documents for ranking. For example, textstat has functions that judge reading level by grade.
2. Write a function that ranks documents based on different scoring metrics. The function can simply return a reordered list of indexes or names of documents.
3. Add parameters in function for order direction (highest or lowest score first), skip the top n documents, limit the return to the top n ranked documents, and other editions if you want.