Keyword extraction method for MOOC

An extraction method and keyword technology, applied in the computer field, to achieve the effect of improving accuracy

Active Publication Date: 2018-09-18
GUANGDONG POLYTECHNIC NORMAL UNIV
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AI Technical Summary

Problems solved by technology

However, the existing TextRank algorithm only uses a single document for keyword extraction and an unweighted edge graph with uniformly weighted nodes when extracting keywords, while MOOC speech texts have

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  • Keyword extraction method for MOOC
  • Keyword extraction method for MOOC
  • Keyword extraction method for MOOC

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Embodiment Construction

[0045] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0046] see figure 1 , is a flow diagram of an embodiment of the MOOC keyword extraction method provided by the present invention, the method steps 101 to 105, each step is specifically as follows:

[0047] Step 101: Obtain the video file of the MOOC to be extracted, and convert the voice of the video file into text.

[0048] In this embodiment, the voice is converted into text by the voice analysis system, which is a prior art, and will not be repeated here.

[0...

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Abstract

The invention discloses a keyword extraction method for an MOOC (Massive Open Online Course). The method comprises the steps of firstly converting a voice of an MOOC video file into a text; performingChinese word segmentation, part-of-speech tagging addition and semantic tagging on the text; according to word positions, part-of-speech and semantic features of words, and in combination with presetweight setting, calculating first comprehensive weights of the words in the text; in combination with a graph model built by a TextRank algorithm, calculating second comprehensive weights of the words; and finally according to the weights from high to low, iteratively outputting X keywords, thereby finishing keyword extraction. By adopting the method, the keyword extraction accuracy can be improved and the personalized learning demands of the MOOC can be met.

Description

technical field [0001] The invention relates to the field of computer technology, in particular to a keyword extraction method for MOOCs. Background technique [0002] With the development of the mobile Internet, online learning (E-learning), as a new teaching mode, has developed rapidly all over the world. The full English name of "MOOC" is Massive Open Online Course (Massive Open Online Course), referred to as MOOC. In fact, it is a new development of online education, a new form of online open education, and its essence is low-cost, high-quality, generative, and widely shared online micro-courses. Compared with traditional online education, one of its distinctive features is that it pays more attention to students' "learning", and students can achieve independent and personalized learning through MOOC to a large extent. [0003] The existing MOOCs mainly adopt the "lecture-based" teaching method, mainly teaching the teaching content in the form of video, supplemented by...

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Application Information

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IPC IPC(8): G06F17/27
CPCG06F40/284G06F40/30G06F40/129
Inventor 马震远黄丽霞张露娟戴玉珠林智勇刘少鹏
Owner GUANGDONG POLYTECHNIC NORMAL UNIV
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