This presentation discusses how Computer Aided Text Analysis (CATA) techniques can be used for the coding of open-ended data by survey researchers. CATA is a quantitative content analysis method involving the automated "machine" coding of textual messages. It has several advantages over traditional "human" coding and these will be reviewed along with weaknesses of the method. The presentation will then shift to a step-by-step walkthrough of how CATA is conducted that includes advice on dictionary construction and other practical considerations. To aid in this, several CATA programs will be demonstrated using sample open-ended survey data. These programs (favorites of the presenter) include Diction 5.0, Wordstat 5.1, and CATPAC (an emergent coding program that does not require the use of a dictionary). The findings from these sample analyses will be used to demonstrate the types of information and knowledge CATA can generate for survey researchers. The presentation will conclude with a brief review of CATA programs with an eye toward emerging and future software, such as Language Logic's Verbatim Coding System and programs for the automated coding of audiovisual data.