It has been recognized since the earliest days of information retrieval that many of the most frequently occurring words in English (like “the,” “of,” “and,” “to,” etc.) are worthless as index terms.
A search using one of these terms is likely to retrieve almost every item in a database regardless of its relevance, so their discrimination value is low.
Furthermore, these words make up a large fraction of the text of most documents: the ten most frequently occurring words in English typically account for 20 to 30 percent of the tokens in a document.
Eliminating such words from consideration early in automatic indexing speeds processing, saves huge amounts of space in indexes, and does not damage retrieval effectiveness.
A list of words filtered out during automatic indexing because they make poor index terms is called a stoplist or a negative dictionary.