Emotion analysis method and device based on big data and deep learning and storage medium

A technology of sentiment analysis and emotion, applied in semantic analysis, electronic digital data processing, special data processing applications, etc., can solve problems such as low accuracy rate, emotional intensity deviation, and affecting the results of text comments, so as to improve accuracy and enhance The effect of usability

Active Publication Date: 2018-03-30
深圳爱数云科技有限公司
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Problems solved by technology

However, under normal circumstances, dynamic emotional words will have a great limiting effect on emotional words such as adjectives, and even affect the part of speech of emotional words. If they are not considered, it is easy to cause de

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  • Emotion analysis method and device based on big data and deep learning and storage medium
  • Emotion analysis method and device based on big data and deep learning and storage medium
  • Emotion analysis method and device based on big data and deep learning and storage medium

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[0052] The embodiments of the present invention are described in detail below. Examples of the embodiments are shown in the accompanying drawings, in which the same or similar reference numerals indicate the same or similar elements or elements with the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary, and are intended to explain the present invention, but should not be construed as limiting the present invention.

[0053] The present invention provides a sentiment analysis method, figure 1 Shows a flowchart of an embodiment of a sentiment analysis method, the method includes the following steps:

[0054] S1 preprocesses emotional data with preliminary label information;

[0055] S2 uses a heuristic extension method to annotate emotional data with different granularities to construct an emotional annotation data set.

[0056] Preferably, step S1 may specifically include:

[0057] S11 collects emotional data with prelim...

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Abstract

The invention discloses an emotion analysis method and device based on big data and deep learning and a storage medium. The emotion analysis method comprises the steps of preprocessing emotion data with preliminary labeling information; adopting a heuristic extending mode to label the emotion data, wherein the heuristic extending mode comprises the procedures of conducting word-splitting on the emotion data, extracting emotion words, and distributing emotion strength values to the emotion words; extracting adjunct words and distributing adjunct strength values to the adjunct words; calculatingthe emotion strength of phrases; adding the phrases and the emotion strength values to an emotion labeling dataset if the emotion polarity corresponding to the emotion strength of the phrases is consistent with that of the emotion data. By means of the emotion analysis method and device based on the big data and deep learning and the storage medium, and by heuristically extending the collected emotion data, good original data can be provided for subsequent data processing, the pertinency and accuracy of subsequent data analysis are improved, so that an emotion lexicon is more accurate and complete.

Description

technical field [0001] The present invention relates to the field of computer sentiment analysis, in particular to a sentiment analysis method, sentiment analysis device, storage medium, computer equipment and program products. Background technique [0002] With the rapid development of the Internet, especially the mobile Internet, various new applications are constantly emerging, such as news portals, e-commerce websites, social networks, and so on. On these applications, the general public can express their subjective views on things, such as comments on news events and preferences for purchased products. Currently, user-generated text data with sentimental tendencies is growing exponentially. By mining these massive data, obtaining user emotional information is crucial to e-commerce, business intelligence, public opinion surveys, public opinion analysis, intelligence analysis, enterprise management, etc., and also provides powerful decision-making support for managers. ...

Claims

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Application Information

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IPC IPC(8): G06F17/30G06F17/27
CPCG06F16/9535G06F40/253G06F40/279G06F40/247G06F40/30
Inventor 张家栋杨学平宁伟
Owner 深圳爱数云科技有限公司
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