Student text feedback fine-grained analysis device and method fused with deep learning
A deep learning and analysis device technology, applied in the field of education, can solve problems such as not being able to make full use of additional value, and achieve the effect of realizing additional value
Pending Publication Date: 2021-05-07
上海交通大学宁波人工智能研究院
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The results of polarity analysis do not make full use of the information in the data and the additional value generated by the data
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[0031] The following describes several preferred embodiments of the present invention with reference to the accompanying drawings, so as to make the technical content clearer and easier to understand. The present invention can be embodied in many different forms of embodiments, and the protection scope of the present invention is not limited to the embodiments mentioned herein.
[0032] At present, many student feedback analyzes for offline and online education are limited to the polarity analysis of student evaluation, that is, whether the students' evaluation of the course is ultimately positive, negative or neutral. The results of polarity analysis do not make full use of the information in the data and the additional value generated by the data.
[0033] Therefore, technicians in the field are committed to developing a fine-grained analysis device and method for students' text feedback that integrates deep learning, more fully mines the information in the data, and helps t...
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The invention discloses a student text feedback fine-grained analysis device and method fused with deep learning, and relates to the field of education, and the device comprises: a data obtaining module which obtains text data; a text embedding module which is connected with the data acquisition module and is used for carrying out word embedding processing on the text data and outputting word vectors; a deep learning module which is connected with the text embedding module, captures the multi-scale features of the word vectors by using a convolutional neural network, transmits the multi-scale features into a weighted bidirectional pyramid network for feature fusion, transmits the fused features into a text category classifier and a text polarity classifier, and respectively outputs the category classification and the sentiment polarity of the text data. According to the method and device, the analysis of category classification is added on the basis of emotion polarity classification, so that the information in the feedback data can be more fully utilized.
Description
technical field [0001] The invention relates to the field of education, in particular to a device and method for fine-grained analysis of student text feedback integrated with deep learning. Background technique [0002] In the context of large classes being the mainstream mode of education, what is in stark contrast is the limited energy and time of teachers. Trying to take care of every student and understand the latest learning status of each student requires a lot of information feedback and interaction, but teachers have more than enough energy but not enough energy, it is almost impossible to do everything. At the same time, many schools have home-school communication to strengthen the communication between the two sides of education, and the online education platform also provides course discussion boards for students to communicate online. The offline and online communication between the education parties provides information support for better taking care of each s...
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IPC IPC(8): G06F16/35G06N3/08G06N3/04G06K9/62G06Q50/20
CPCG06F16/353G06N3/08G06Q50/205G06F2216/03G06N3/045G06F18/253
Inventor 凡婷伟王冠杨根科褚健王宏武
Owner 上海交通大学宁波人工智能研究院