Social Short Text Expansion Based on Two-Layer Heterogeneous Network
[Objective]This paper aims to expand social short texts by leveraging heterogeneous relationships in social networks.It addresses the issues of fragmentation and the use of internet slang in social short texts.[Methods]First,we measured the unevenness of hotspot words in social information based on dispersion,which improved the TF-IDF method to obtain initial features.Then,we constructed a two-layer heterogeneous social network consisting of three sub-networks based on the heterogeneous relationships in social networks.Finally,the importance of users,text similarity,and user recognition of social texts are quantified to obtain multiple extended sources and expand social short texts.[Results]Compared with the existing short text feature expansion methods,the proposed model's precision,recall,and Fl value improved by about 13％,19％,and 18％,respectively.[Limitations]We did not consider the influence of indirect relationships on the construction of heterogeneous social networks is not considered.[Conclusions]Using the heterogeneous relationships in social networks can obtain more reasonable expansion sources and effectively expand social short texts.
Social Short TextFeature ExtensionTwo-Layer Heterogeneous Social NetworkFeature Weights
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