Non-functional requirements state quality related expectations to a system, is used as important criteria for software design decision making and design evaluation. Comparing to functional requirements descriptions, non-functional requirements statements are often scattered and implicit, which may require much effort to group and interpret manually. This study proposes an automated non-functional requirements recognition and classification approach, which identifies the sentences that are likely to include information about non-functional requirements, to save manual efforts. Then, given non-functional requirements statement is classified into five possible non-functional requirements types, including:performance, reliability, usability, security, and maintainability. The training of classification model and experiment are based on a requirements dataset from the past projects, and then the proposed approach is validated with an industrial project requirements data.