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Behavior-emotion-time sequence combined online forum theme modeling method

A topic modeling and behavioral technology, applied in semantic tool creation, special data processing applications, unstructured text data retrieval, etc., can solve the problem of inability to obtain deep information in online forums

Pending Publication Date: 2022-01-14
HUAZHONG NORMAL UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The present invention proposes a joint behavior-emotion-time series online forum topic modeling method, which is used to solve or at least partially solve the technical problem that the prior art method cannot obtain deep-level information in online forums

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  • Behavior-emotion-time sequence combined online forum theme modeling method
  • Behavior-emotion-time sequence combined online forum theme modeling method
  • Behavior-emotion-time sequence combined online forum theme modeling method

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Embodiment Construction

[0054] Educational text mining is a research aspect that cannot be ignored in text mining. Mining and discovering learners' potential learning feelings, learning motivation, and knowledge construction level from simple texts can provide reference and basis for finding learners' "learning pain points" and providing personalized teaching assistance. Teachers can quickly grasp learners' learning status, including learning attitude and overall progress, so as to answer questions and provide feedback in a timely manner. As a research hotspot in the field of educational text mining, the calculation and analysis of learners' emotions and behavioral tendencies through texts can not only help understand and analyze learners' potential psychological changes, but also diversify and enrich teaching resources and models. It also helps a lot. As an important teaching aid in online education, online forums allow learners to freely express their personal views and subjective feelings, as wel...

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Abstract

The invention discloses a behavior-emotion-time sequence combined online forum theme modeling method. The method comprises the steps of performing emotion, behavior, theme and time mining on an individual posted text. The method comprises the following steps: firstly, determining an emotion vector proportion of a post according to the post and personal emotion; acquiring a behavior vector proportion according to a related behavior classification rule; combining the emotion vector with the behavior vector to obtain multi-category emotion-behavior classification; according to the emotion-behavior classification probability, determining topic distribution under different classifications; combining the time vectors, and obtaining the posting probabilities of different emotions, different behaviors, different themes and different time; determining probability changes of the selected words in different emotions, different behaviors and different themes by combining the word vectors under the themes; and finally, integrating all the probabilities to obtain the emotion, behavior, time and theme proportion of the individual post. According to the method, interest topics concerned by an individual in different stages and evolution trends of individual behaviors can be obtained.

Description

technical field [0001] The invention relates to the technical field of text data mining, in particular to an online forum topic modeling method combining behavior-emotion-time sequence. Background technique [0002] In an era of information explosion, how to find and extract the information and data you really need from massive amounts of information has become a big problem. Data mining technology came into being. Compared with complex pictures, audio, video, and animation resources, text mining is not only easy to obtain, convenient to analyze and process, but also can accurately express personal real views and opinions. Through in-depth mining and analysis of a large number of post texts in online forums, we can better understand and grasp personal interest preferences and behavior tendencies, which is of great help to accurate knowledge push services. It has become the focus of researchers in the era of big data to explore the potential emotional and behavioral tendenc...

Claims

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Application Information

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IPC IPC(8): G06F16/35G06F16/33G06F16/36
CPCG06F16/35G06F16/3346G06F16/36
Inventor 张思陈娟夏丹高倩倩
Owner HUAZHONG NORMAL UNIV