The invention relates to a text conceptualization and network representation fused opinion retrieval
system and method. The
system comprises a text conceptualization module, a network representation module, an opinion retrieval
score calculation module, a relevant retrieval unifying module and a sorting learning retrieval module. The text conceptualization module is used for judging concepts, in specific contexts, of entities corresponding to multiple concepts; the network representation module projects vocabulary nodes into a low-dimension
semantic space; the opinion retrieval
score calculation module calculates query and text topic similarity scores and to-be-queried text opinion scores to obtain text composite scores; the relevant retrieval unifying module obtains a query opinion
retrieval result according to a descending order of the text composite scores and outputs the query opinion
retrieval result; the sorting learning retrieval module integrates text conceptualization characteristics, network representation characteristics and the text opinion
score characteristics into an existing sorting learning framework to classify and outputs texts sequentially. By the text conceptualization and network representation fused opinion retrieval
system and method, concept level abstraction of text knowledge can be efficiently realized, query and text
semantic relation can be analyzed, and user query related texts with query opinions can be retrieved.