Study on the Influence of Wuthering Heights Characters Based on Web Analysis and Text Mining

The rapid development of network technology and the popularity Internet have made people rely more on exchange sharing information, demand for obtaining information about from has gradually increased, but massive amount data fragmented disorganized, existing work portraits mainly focused extraction people’s attributes. In this paper, we examine artistic construction characterization Wuthering Heights basis a tasting book, with aim presenting “alienated personalities” hidden in depths characters’ consciousness showing author’s unique creative art through an analysis thematic ideas, use temporal elements, tracing creation original forms. aspect character social relationship extraction, first, method expanding seed dictionary by means synonym word forest is used to build lexicon, which avoids inefficiency caused manual lexicon collection; second, algorithm based combination rule matching syntactic tree proposed, effectively overcomes disadvantage low recall rate matching, average F-value reaches 82.61% experiment achieves experiment, significant advantage over other methods.