Fine granularity evaluation information mining method and system

The invention discloses a fine granularity evaluation information mining method. The method includes the steps of adopting an initial evaluation object seed set and an initial evaluation word seed setas bases, utilizing a semi-supervised iteration method to extract a relevant structure of a candidate evaluation object set and a candidate evaluation word set, and separately adopting evaluation objects which are most relevant to candidate evaluation words and are mined from the candidate evaluation object set as new evaluation objects; in a similar way, adopting evaluation words which are mostrelevant to candidate evaluation objects and are mined from the candidate evaluation word set as new evaluation words, adding the mined new evaluation objects and the mined new evaluation words into the initial evaluation object seed set and the initial evaluation word seed set, iteratively and alternatively mining potential evaluation information, and extracting an evaluation object and an evaluation word which correspond