A text aggregate method and device. The method comprises: when a text feature set corresponding to a text to be aggregated is acquired, employing a determination method combining a locality sensitive hashing algorithm and a similarity check to perform a similarity analysis on the text to be aggregated so as to aggregate the text to be aggregated. Therefore, the present invention can address the problem of a low-accuracy and high-latency text aggregate result due to performing a short-text similarity analysis on the basis of a vector space model or a probabilistic model, thus accurately and quickly aggregating a short text.