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Method of using deep learning for movie recommendation based on emotion analysis

A technology of sentiment analysis and deep learning, applied in the direction of electrical digital data processing, special data processing applications, instruments, etc., can solve the problem of few applications of recommendation systems, achieve the effect of optimizing quality, improving accuracy, and solving information overload

Inactive Publication Date: 2018-10-26
HARBIN UNIV OF SCI & TECH
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Problems solved by technology

[0008] In recent years, deep learning methods that have emerged have achieved great success in image and speech recognition, and have been gradually applied to natural language processing and machine translation. They can better judge the tendency and intensity of emotions from text information, but in There are few applications in recommender systems

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  • Method of using deep learning for movie recommendation based on emotion analysis
  • Method of using deep learning for movie recommendation based on emotion analysis
  • Method of using deep learning for movie recommendation based on emotion analysis

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Embodiment Construction

[0032] In order to facilitate those of ordinary skill in the art to understand and implement the present invention, the present invention will be described in further detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the embodiments described here are only used to illustrate and explain the present invention, and are not intended to limit this invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0033] Such as Figure 4 As shown, the present invention provides a flow chart of a method for recommending movies based on sentiment analysis using deep learning disclosed in an embodiment. The recommendation method includes the following steps S1 to S6:

[0034] S1: Obtain the user's movie online reviews and movie status information.

[0035] In this embodimen...

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Abstract

The invention discloses a method of using deep learning for movie recommendation based on emotion analysis. Movie online-comments of a user and movie status information are acquired, and cleaning operations and pre-processing are carried out on movies and comment information thereof; structure and feature information extraction of data is carried out, and emotion analysis is carried out on featureinformation through deep learning; and then a user interest model is established on the basis of emotion analysis data, then interest degrees of the user on movies are calculated, and movie recommendation is carried out. According to the method, a Bagging algorithm and a bi-directional long short-term memory (Bi-directional LSTM) network are used as a method of emotion inclination analysis, subjective emotion expressed by the user in the text information is mined, the effective user interest model is constructed, accuracy of a recommendation system is improved, and quality of movie recommendation is optimized.

Description

technical field [0001] The invention relates to the technical field of movie recommendation, in particular to a movie recommendation method based on sentiment analysis using deep learning. Background technique [0002] With the development of information technology, various Internet applications emerge in an endless stream, and gradually penetrate into all aspects of public daily life and entertainment. People's economy and living standards are gradually improving, and movies have become an important way of entertainment and leisure for modern people. More and more people choose to watch movies online and participate in online reviews. At the same time, with the abundance of movie resources, how to find what they are interested in from the excessive movie information has become a difficult point for people to choose. This makes the information screening of movies a hot research direction at present, and the movie recommendation system has also become an effective means to s...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30G06N3/04
CPCG06N3/045
Inventor 高俊山张孟逸邓立为孙安祺
Owner HARBIN UNIV OF SCI & TECH
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