Automatic indexing is an important technique in Information Retrieval (IR) systems that enables computers to identify and assign index terms to documents automatically without human intervention. It helps organize large collections of digital information efficiently and improves the speed and accuracy of information retrieval. Concepts such as Document Frequency (DF) and Inverse Document Frequency (IDF) are widely used to measure the importance of terms within documents and across document collections. Automatic indexing techniques involve processes like tokenization, stop-word removal, stemming, term selection, and weight assignment. These techniques support modern search engines, digital libraries, and databases in retrieving relevant information quickly and effectively.
A. K. Hazra (Fri,) studied this question.