Abstract: Topic-relevance highlighting of electronic text is described that includes categorizing words in the electronic text into several classes, determining the relevance weight for each word based on their relevance to one or more classes, and then color-coding words according to their classes. Each class represents a specific topic of interest and is assigned a distinctive color. Words or phrases in the electronic text belonging to the same class would be highlighted with the same distinctive color. Accordingly, users can instantly identify whether the document is relevant, to which topic of interest the document is relevant, and the relevant portions of the document page which match users' interests.