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SOPMI algorithm-based emotion dictionary expansion method and emotion polarity analysis method

An emotion dictionary, emotion polarity technology, applied in computing, computing models, instruments, etc., can solve problems such as double negatives, poor results, and unsolvable emotional situations

Pending Publication Date: 2022-03-01
四川启睿克科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] 1. The sentiment dictionary of Bosen database is a general-purpose database, which is more suitable for most news, Weibo and other public comments, but the effect for a specific industry is not good
[0007] 2. Emotional scoring can solve simple emotional tendencies, but it cannot solve complex emotional situations in Chinese, such as double negatives, rhetorical questions, etc.

Method used

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  • SOPMI algorithm-based emotion dictionary expansion method and emotion polarity analysis method
  • SOPMI algorithm-based emotion dictionary expansion method and emotion polarity analysis method
  • SOPMI algorithm-based emotion dictionary expansion method and emotion polarity analysis method

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Embodiment Construction

[0023] In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, and are not intended to limit the present application.

[0024] On the contrary, this application covers any alternatives, modifications, equivalent methods and schemes within the spirit and scope of this application as defined by the claims. Further, in order to make the public have a better understanding of the application, some specific details are described in detail in the detailed description of the application below. The present application can be fully understood by those skilled in the art without the description of these detailed parts.

[0025] The SOPMI algorithm-based sentiment dictionary expansion method and sentiment polarity analysis met...

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Abstract

The invention discloses an emotion dictionary expansion method and an emotion polarity analysis method based on an SOPMI algorithm. The method comprises the following steps: collecting public opinion text data; collecting positive reference words and negative reference words as seed words; utilizing an SOPMI algorithm to calculate sentiment scores of the words and generating a sentiment dictionary; performing word segmentation on the text data by utilizing jieba, and extracting nouns and verbs in the text data; and scoring the text information by using the score weighting of the nouns and the verbs. The problem that most sentiment polarity analysis intelligence cannot generate a special sentiment dictionary of an own project based on an existing sentiment dictionary is solved.

Description

technical field [0001] The invention relates to the technical fields of machine learning and text analysis, and more specifically relates to a method for expanding a sentiment dictionary based on a SOPMI algorithm and a method for analyzing sentiment polarity. Background technique [0002] With the development and progress of society, the diversification of media, the rapid development of the network, the popularity of mobile terminals, and the widespread use of microblogs and forums, a large amount of information is circulated in the network in various ways every day. After filtering spam , still unable to evaluate the information effectively. Whether it is positive or negative information, high-quality and low-quality information can be distinguished by text scoring. On the one hand, it can facilitate the analysis of public opinion by enterprises or governments, and on the other hand, it can gain a wider understanding of the word-of-mouth of products among users. [0003...

Claims

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Application Information

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IPC IPC(8): G06F40/242G06F40/216G06F40/284G06F40/289G06Q50/00G06N20/00
CPCG06F40/242G06F40/284G06F40/289G06F40/216G06Q50/01G06N20/00
Inventor 彭乙庭
Owner 四川启睿克科技有限公司