Abstract
Semantic and sentimental analysis plays an important role in natural language processing, especially in textual analysis, and has a wide range of applications in web information processing and management. This paper intends to present a sentimental analysis framework based on the directed weighted graph method, which is used for semantic classification of the textual comments, i.e. user reviews, collected from the e-commerce websites. The directed weighted graph defines a formal semantics lexical as a semantic body, denoted to be a node in the graph. The directed links in the graph, representing the relationships between the nodes, are used to connect nodes to each other with their weights. Then a directed weighted graph is constructed with semantic nodes and their interrelationships relations. The experimental results show that the method proposed in the paper can classify the semantics into different classification based on the computation of the path lengths with a threshold.
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Acknowledgments
This paper is a part of research work in the Dalarna University in Sweden. This work was supported by the Natural Science Foundation of Zhejiang (LY16G020012), Major Research Projects of Humanities and Social Sciences in Colleges and Universities of Zhejiang (2014GH015), Science and Technology Innovation Team of Ningbo (2013B82009), Social Development Projects of Ningbo (2012C50045), Research Project of Humanities and Social Sciences of The Ministry of Education (14YJC630210), Public Technology Research and Application Project of Zhejiang (No. 2015C33065).
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Zhang, S., Song, W.W., Ding, M., Hu, P. (2016). A Multi-Semantic Classification Model of Reviews Based on Directed Weighted Graph. In: Cellary, W., Mokbel, M., Wang, J., Wang, H., Zhou, R., Zhang, Y. (eds) Web Information Systems Engineering – WISE 2016. WISE 2016. Lecture Notes in Computer Science(), vol 10042. Springer, Cham. https://doi.org/10.1007/978-3-319-48743-4_35
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