Stop words are common words like 'a', 'the', and 'is' that are often removed from text before analysis as they don't carry much meaning on their own.
Examples of stop words include articles like 'a', 'an', 'the', conjunctions like 'and', 'but', 'or', prepositions like 'in', 'on', 'at', pronouns like 'he', 'she', 'it', 'they', and common verbs like 'is', 'am', 'are', 'was', 'were', 'be', 'being', 'been'.
Stop words removal helps in reducing unnecessary words in the text that don't contribute much to the analysis or understanding of the content.
By removing stop words, the focus shifts to the keywords that are more relevant for processing and analysis, improving efficiency and accuracy in text processing tasks.