Chinese microblog topic information processing method

An information processing method and a technology for microblog topics, which are applied in the fields of electronic digital data processing, special data processing applications, unstructured text data retrieval, etc.

Active Publication Date: 2016-02-24
哈尔滨工业大学人工智能研究院有限公司
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Problems solved by technology

Compared with the rough work of the predecessors, the work of Abhimanyu and Anitha in 2014 (document [4] DasA, KannanA. In order to dig out hot topics in Twitter, by observing the commonality of Weibo events, three evaluation indicators are obtained, namely "diversity", "uniqueness" and "burstiness". , use the weakly...

Method used

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  • Chinese microblog topic information processing method
  • Chinese microblog topic information processing method
  • Chinese microblog topic information processing method

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specific Embodiment approach 1

[0048] Specific implementation mode one: as figure 1 As shown, a Chinese microblog topic information processing method includes the following steps:

[0049] Step 1: Judgment of Weibo related to hot events;

[0050] Input the relevant microblogs of a single hot event, use the language technology platform to preprocess the text and judge whether the microblogs are relevant through the keyword matching method, and the language technology platform is the language technology platform of Harbin Institute of Technology (CheW, LiZ, LiuT. C] / / Proceeding of the 23rd International Conference on Computational Linguistics: Demonstrations.Association for Computational Linguistics, 2010:13-16);

[0051] Step 2: Microblog topic discovery;

[0052] By counting the Hashtag information in the microblog, the topic information in the hot event microblog is mined, wherein the Hashtag is the topic information, that is, the text between two "#" symbols in the microblog;

[0053] Step 3: topic clu...

specific Embodiment approach 2

[0084] Embodiment 2: This embodiment differs from Embodiment 1 in that: in the step 4, the threshold value of the addition rate of microblogs corresponding to S topics is 0.1.

specific Embodiment approach 3

[0085] Specific embodiment 3: The difference between this embodiment and specific embodiment 1 or 2 is that in step 4, after obtaining the final output in step (7), return to repeat steps (1) to (7) again, and the initial input is the self-expanded S topics and their related microblogs finally output in step (7).

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Abstract

The invention discloses a Chinese microblog topic information processing method, and relates to reason analysis algorithms for emotional distribution of microblog events. The invention aims to solve the problems that a hierarchical clustering algorithm and a correction algorithm adopted in an existing microblog topic information processing method are low in accuracy and incapable of including event-related microblogs in correct topics. According to the Chinese microblog topic information processing method, event topics and related microblogs are mined with a hierarchical clustering ordering method of unsupervised learning and a microblog topic correction algorithm of semi-supervised learning, so that the purpose of performing emotional distribution statistics and analysis on the related microblogs is finally achieved. The Chinese microblog topic information processing method can perform microblog topic information processing more accurately. The present invention is applied to the microblog topic information processing field.The Chinese microblog topic information processing method is applied to the field of microblog topic information processing.

Description

technical field [0001] The invention relates to a method for processing microblog topic information. Background technique [0002] As an emerging social media platform, Weibo is also one of the most popular social media platforms in China. There are hundreds of millions of active users. More and more netizens choose to obtain and share information they are interested in on Weibo. In the face of big data of tens of millions per day on Weibo, it is very meaningful to analyze netizens’ opinions and attitudes towards a certain event. More and more scholars have begun to pay attention to the information behind such big data on Weibo. [0003] Since microblogging as a form of social media has not been in people's lives for a long time, there are not many related researches on the analysis of the causes of microblogging event emotion distribution at home and abroad. The current microblogging event mining methods mainly include, in 2011, Weng et al. used the relevant principle of w...

Claims

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Application Information

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IPC IPC(8): G06F17/30
CPCG06F16/313G06F16/35
Inventor 赵妍妍秦兵李泽魁
Owner 哈尔滨工业大学人工智能研究院有限公司
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