The present invention discloses a Lucene full-text retrieval based Chinese word segmentation method. The method comprises: storing a dictionary in a database in the form of one word for each row; caching the dictionary in the database into a server in the form of a tree; inputting text information that needs to be segmented; matching a text with a caching dictionary tree word by word, and outputting a successfully matched longest word; and outputting a word segmentation result. According to the method provided by the present invention, a user can extract useful information from massive fuzzy data for detailed study and summarization, and it is convenient for the user to perform semantic analysis and data analysis, so that a problem in a marketing service can be found in time, thereby improving a power grid marketing service level.