Method for microblog hot event online detection based on emotion analysis

A microblog hotspot and sentiment analysis technology, applied in the field of mobile Internet, can solve problems such as low efficiency

Active Publication Date: 2014-01-08
NAT UNIV OF DEFENSE TECH
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Problems solved by technology

[0006] Aiming at the low efficiency of existing event detection methods in massive online microblog text data streams, the present invention provides a method for online detection of microblog hot events based on sentiment analysis, which extracts emotions from online microblog texts through sentiment analysis, The improved Kleinberg algorithm is used to detect the burst state of emotio...

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  • Method for microblog hot event online detection based on emotion analysis
  • Method for microblog hot event online detection based on emotion analysis
  • Method for microblog hot event online detection based on emotion analysis

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Embodiment Construction

[0023] The technical scheme of the present invention will be further described below in conjunction with specific embodiments:

[0024] Aiming at the low efficiency of existing event detection methods in massive online microblog data streams, the present invention provides a method for online detection of microblog hotspot events based on sentiment analysis, which extracts sentiment from online microblog texts through sentiment analysis, using The improved Kleinberg algorithm detects the burst state of emotion and emotional text, and extracts hot topics through the nearest neighbor propagation clustering algorithm during the burst period, so that only a small number of effective texts with a large amount of information participate in event mining, reducing the amount of data At the same time, a large amount of data noise is filtered out, so that microblog hot events can be detected online in real time.

[0025] Before introducing a method for online detection of microblog hot ...

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Abstract

The invention discloses a method for microblog hot event online detection based on emotion analysis. According to the method for microblog hot event online detection based on emotion analysis, emotion extraction is conducted on online microblog texts according to emotion analysis, the bursting state of emotions and emotion texts is detected according to the improved Kleinberg algorithm, hot topics are extracted according to an affinity propagation clustering algorithm in the bursting period, so that only a small part of texts with a large amount of effective information participate in event extraction, the data volume is reduced, meanwhile a large amount of data noise is filtered out, and therefore the purpose that online real-time detection of the microblog hot events is achieved.

Description

technical field [0001] The invention belongs to the technical field of mobile Internet, and in particular relates to a method for online detection of microblog hotspot events based on sentiment analysis. Background technique [0002] The Internet is gradually evolving into a ubiquitous computing platform and information dissemination platform. The emergence and rapid development of social network applications such as online social networking sites, microblogs, blogs, forums, and wikis have brought about profound changes in the way humans use the Internet—by Simple information search and web browsing turn to the construction and maintenance of social relationships on the Internet and the creation, exchange and sharing of information based on social relationships. [0003] At present, social network applications are in a period of vigorous development. Since its launch 8 years ago, Facebook has more than 1 billion users, making it the third most populous country. The number of...

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Application Information

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IPC IPC(8): G06F17/30
CPCG06F16/355
Inventor 张鲁民贾焰杨树强周斌韩伟红李爱平韩毅李莎莎裴少杰邓镭
Owner NAT UNIV OF DEFENSE TECH
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