Corpus is a collection of text, which can range from multiple paragraphs to an entire book.
In Natural Language Processing, preprocessing steps for corpus analysis include tokenization, stop word removal, special character removal, and converting text to lowercase.
Tokenization involves breaking down text into individual words for analysis using libraries like nltk.tokenize.
Stop word removal and converting text to lowercase helps in reducing noise and focusing on meaningful words in the corpus.