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Topic model based hierarchical classification method and system for microblog user emotions

A topic model and hierarchical classification technology, applied in special data processing applications, instruments, electrical digital data processing, etc., to achieve good classification results and improve accuracy

Inactive Publication Date: 2016-05-11
TSINGHUA UNIV
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  • Claims
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Problems solved by technology

The rapid popularity and extinction of online terms and social topics often require online sentiment analysis models to have good stress and sensitivity and adaptability to new terms, which is still a research hotspot in the field of machine learning

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  • Topic model based hierarchical classification method and system for microblog user emotions
  • Topic model based hierarchical classification method and system for microblog user emotions
  • Topic model based hierarchical classification method and system for microblog user emotions

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Embodiment Construction

[0023] The embodiments of the present invention are described in detail below. Examples of the embodiments are shown in the accompanying drawings, in which the same or similar reference numerals indicate the same or similar elements or elements with the same or similar functions. The embodiments described below with reference to the drawings are exemplary, and are only used to explain the present invention, but should not be understood as limiting the present invention.

[0024] In the description of the present invention, it should be understood that the terms "center", "longitudinal", "transverse", "upper", "lower", "front", "rear", "left", "right", " The orientation or positional relationship indicated by "vertical", "horizontal", "top", "bottom", "inner", "outer" etc. is based on the orientation or positional relationship shown in the drawings, and is only for the convenience of describing the present invention and The description is simplified, rather than indicating or impl...

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Abstract

The invention discloses a topic model based hierarchical classification method and system for microblog user emotions. The classification method comprises the following steps: S1, microblog content is acquired and preprocessed, and to-be-classified words are obtained, wherein the to-be-classified words are one or more kinds of adverbs, verbs and adjectives; S2, the to-be-classified words are subjected to feature dimension reduction; S3, the to-be-classified words after feature dimension reduction are subjected to emotion classification of the microblog content according to a hierarchical classification model, and nodes on all layers of the hierarchical classification model are words representing the certain emotions. The topic model based hierarchical classification method has the following advantages: a hierarchical classification framework is designed, LDA (latent Dirichlet allocation) as a probability generation model is adopted to describe data according to the structural characteristic of short text of the microblog content, and further, feature dimension reduction and extraction are performed. By means of introduction of modules meeting text characteristics, the classification accuracy is improved, and better classification result is obtained.

Description

Technical field [0001] The invention relates to the field of computer application machine learning, in particular to a method and a classification system for the hierarchical classification of microblog user emotions based on a topic model. Background technique [0002] As a new social networking platform, Weibo has the characteristics of a large user base, a keen sense of social hot topics, and rich and diverse data resources. As a popular Chinese social network platform, Sina Weibo's user reviews are valuable research materials for academic and industrial circles. In recent years, a number of innovative studies on Sina Weibo comments have been published. Microblog user information analysis has great potential in applications such as user popular topic discovery, user information extraction, user opinion mining, tag recommendation, and user sentiment analysis. This system focuses on the sentiment analysis of Weibo users. Sentiment analysis has an excellent auxiliary effect on...

Claims

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Application Information

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IPC IPC(8): G06F17/27
CPCG06F40/205
Inventor 徐华张帆
Owner TSINGHUA UNIV
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