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Emotion analysis system and method based on probability emotion dictionary

A technology of sentiment analysis and sentiment dictionary, which is applied in the field of sentiment analysis system based on probabilistic sentiment dictionary, can solve problems that affect the accuracy of sentiment analysis, cannot analyze data information, cannot apply multi-modal data information, etc., and achieve an increase in irony judgment mechanism , improve accuracy, enhance the effect of accuracy

Active Publication Date: 2020-10-30
NORTHEASTERN UNIV
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Problems solved by technology

Therefore, many current methods for sentiment analysis of data information only extract the text in the data for sentiment analysis, which cannot be applied to multi-modal data information.
This leads to the sentiment analysis of the data, which cannot be analyzed in combination with relevant factors such as pictures, videos, and audios in the data.
And it directly affects the accuracy of sentiment analysis

Method used

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  • Emotion analysis system and method based on probability emotion dictionary
  • Emotion analysis system and method based on probability emotion dictionary
  • Emotion analysis system and method based on probability emotion dictionary

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Embodiment Construction

[0047] The specific embodiments of the present invention will be described in further detail below in conjunction with the drawings and embodiments. The following examples are used to illustrate the present invention, but not to limit the scope of the present invention.

[0048] In this embodiment, a sentiment analysis system based on a probabilistic sentiment dictionary, such as figure 1 Shown, including:

[0049] Including data layer, business layer, interface layer and user layer;

[0050] The data layer stores the training sets that have been labeled with emotion labels in different modalities that need to be used in the sentiment analysis algorithm, and the video data to be analyzed by the user;

[0051] The business layer trains and analyzes the data in the data storage layer, and includes an image feature extraction module, an audio feature extraction module, a text feature extraction module, and a multi-modal sentiment analysis module; the image feature extraction module extra...

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Abstract

The invention discloses an emotion analysis system and method based on a probability emotion dictionary, and belongs to the technical field of computer natural language processing. On the basis of constructing the emotion dictionary based on the text, the emotion dictionary constructed based on the text, the picture and the video; adopting a deep belief network mode to extract facial expression features on the pictures to construct an image emotion dictionary; extracting emotional features of the video by adopting a convolutional neural network, and constructing a video emotional dictionary; carrying out emotion feature extraction by adopting OpenSMILE, and constructing an audio emotion dictionary. For the condition of missing a single mode, the features of the missing mode are fitted through the information features of the other two modes, and an inverse language judgment mechanism is added, so the accuracy of sentiment analysis is improved, and the problem of inaccurate analysis result caused by missing of a certain mode in the analysis process is solved.

Description

Technical field [0001] The present invention relates to the technical field of computer natural language processing, in particular to a sentiment analysis system and method based on a probabilistic sentiment dictionary. Background technique [0002] Sentiment analysis is a common scenario in natural language processing. It mainly analyzes human emotions qualitatively and quantitatively based on big data, which is an important manifestation of big data intelligence. Sentiment analysis is widely used in many fields such as public opinion monitoring, customer service monitoring, and e-commerce evaluation. For example, various Weibo reviews, video website reviews, and e-commerce product reviews are crucial for relevant departments and personnel to better understand the emotional needs of users. Through the sentiment analysis of the information data, the pros and cons of the project products in various dimensions can be discovered, so as to clarify how to improve the project products...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F40/242G06F40/289G06K9/00G06K9/62G06N3/04
CPCG06F40/242G06F40/289G06V20/46G06N3/045G06F18/214Y02D10/00
Inventor 信俊昌王之琼王司亓隋玲唐俊日雷盛楠汪宇李嘉欣
Owner NORTHEASTERN UNIV