| Autor: |
Nithyanandam, Jagadish Kumar, Chelliah, Balasubramanian, Venkatesan, Dilli Babu, Raja, Hariprasad Kambala, Thirumalai, Bharath |
| Předmět: |
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| Zdroj: |
AIP Conference Proceedings; 2023, Vol. 2790 Issue 1, p1-14, 14p |
| Abstrakt: |
The sentiment analysis can be divided into the following two categories: one is based on the complex network of virtual community knowledge network, which found the structure directly inherited the basic characteristics of social network. The second category is according to most of the virtual community network activities can be recorded through time, through studies on specific network, found negatively related to some networks. Also it negatively correlates with the degree of increasing over time; however, in most real-life social network is showing the degree of positive related to this issue, some scholars still in follow-up study for opinion mining and sentiment analysis. The domestic research on Internet usage structure and evolution has just started, the research direction is most concentrated in the communications and journalism categories, analysis and prediction in statistics and computer network in the direction of effective work less, and have yet to see the specific research evolution of network group. In this paper, we put forward the evolution model that can be applied to a certain Internet community, based on the mechanism and restriction factors of different types of network, user personnel and the usage of English language. The outcomes showcased on the parameters on scientific systems, veracity and efficiency. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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