An information-theoretic perspective of tf–idf measures
Generate an AI Snapshot to get a quick, structured summary of this paper.
A concise AI-generated summary of the paper will appear here once you click Generate AI Snapshot.
TL;DR
The proposed PWI is expressed as a product of the occurrence probabilities of terms and their amounts of information, and corresponds well with the conventional term frequency-inverse document frequency measures that are commonly used in today's information retrieval systems.
Abstract
This paper presents a mathematical definition of the “probability-weighted amount of information” (PWI), a measure of specificity of terms in documents that is based on an information-theoretic view of retrieval events. The proposed PWI is expressed as a product of the occurrence probabilities of terms and their amounts of information, and corresponds well with the conventional term frequency–inverse document frequency measures that are commonly used in today’s information retrieval systems. The mathematical definition of the PWI is shown, together with some illustrative examples of the calculation.
