Detection method of network focus and public sentiment

Abstract

The invention provides a detection method of network focus and public sentiment, belonging to the technical field of network information processing. The method comprises the steps: collecting text information documents and commentary information documents of internet forums and blog systems in an appointed time range; word segmenting, concept mapping and concept disambiguating; extracting the intrinsic characteristics which can express the content of the text information documents; clustering with the intrinsic characteristics to form a plurality of information document sets containing the information documents with different quantities; knowing network focus events in the appointed time range according to the numbers of the information documents in the each information document sets; andanalyzing the focus event information document sets with commendatory tendency or derogatory tendency, thereby knowing the public sentiment viewpoints of netcitizens to the focus events. The method eliminates the defects of taking wards as a unit and inflexibility in the existing public sentiment system, and improves the capability to analyze the public sentiment for commentary documents.

Description

technical field [0001] The invention relates to a method in the technical field of network information processing, in particular to a method for detecting network hotspots and public opinion. Background technique [0002] The Internet has become one of the most important platforms for people to obtain and exchange information. Compared with traditional media, one of the biggest features of the Internet is freedom, openness, and timeliness. Anyone can publish opinions and comments on the Internet through blogs and forum systems. This makes it easy to spread bad information on the Internet, such as deceptive speech or speech that endangers national security, which will cause mass incidents in serious cases. At the same time, the texts of blogs and forum systems contain a large amount of public opinion information reflecting public opinion. It is necessary to analyze, monitor and predict these public opinion information, and find hot information from them. [0003] The curren...

AI Technical Summary

Problems solved by technology

However, this method uses words as units to extract hot words and cluster key sentences. When a word has multiple meanings or multiple words have only one meaning, the accuracy rate will be affected, and the calculation is complicated.

At the same time, this method does not take into account that in addition to numerous subject documents on the Internet, the comment documents on these subject documents also contain the opinions of netizens, which is also an important part of the tendency of Internet public opinion.

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