Detection of News Stories with Formal Concept Analysis ⋆
نویسندگان
چکیده
As the number of netizens increases, the Internet has become an important platform for public opinion emergence and transmission. In order to reinforce the network management and make timely and correct navigation to public opinion, monitoring and analyzing Internet public opinion has become pretty urgent for governments. In this paper, Formal Concept Analysis (FCA) is used to find topics of news stories on Internet. A concept in FCA is used to express a topic and the intent of the concept is used to represent topic content. The experimental result shows that our approach is feasible for topic detection and the degree of users’ satisfaction reaches 85.71%.
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