Users all around the world widely publish contents and leave comments about products/services they experienced in social networking sites. With the emerging computational intelligence approaches, the data can be processed and transformed to valuable knowledge. In this study, we propose a methodology based on computational intelligence techniques for market analysis . In the proposed approach, first customers’ comments are collected automatically, then sentiment analysis is applied to each message using artificial neural networks . At the third phase, themes of messages are determined using text mining and clustering techniques. In order to represent the outcomes of the computational intelligence, a real world example from GSM operators in Turkey is given.