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Text analysis technology in crew collaboration scheduling system for space missions

In modern software, text is widely used as a common data carrier and more human oriented features are applied in texts. This paper introduces how text analysis technology is implemented in the crew collaboration scheduling system for retrieving and using text information. Regex expression is used as a basic tool for composing text analyzers and interpreters. External data is achieved based on conventional patterns. Combined with text element classification and data query, complex and flexible syntax interpreter is built for understanding scheduling requests in natural-like language. With success of the system, text analysis discussed in this paper proves essential and helpful in enriching information in human oriented texts and making the system easy to use.