Sentiment analysis method

A technology of sentiment analysis and emotion, applied in the field of sentiment analysis, can solve the problem of low accuracy of sentiment analysis, and achieve the effect of good semantic dependency, high accuracy, and accurate text sentiment analysis results

Pending Publication Date: 2021-11-26
UNIV OF ELECTRONIC SCI & TECH OF CHINA
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is to solve the technical problem of low accuracy of sentiment analysis in the prior art, and propose a sentiment analysis method

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Embodiment Construction

[0038] The following will clearly and completely describe the technical solutions in the embodiments of the application with reference to the drawings in the embodiments of the application. Apparently, the described embodiments are only some of the embodiments of the application, not all of them. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of this application.

[0039] Such as figure 1 Shown is a schematic flow chart of a sentiment analysis method proposed in the embodiment of the present application, the method includes the following steps:

[0040] Step S1. Obtain a training text set, and perform preprocessing on the training text set to obtain a training emotion score vector set.

[0041] In the embodiment of the present application, the preprocessing of the training text set in the step S1 to obtain the training emotion score vector specifical...

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Abstract

The invention discloses a sentiment analysis method, which comprises the following steps of: obtaining a training text set, preprocessing the training text set to obtain a training sentiment score vector set, and training a preset neural network based on the training sentiment score vector set and a preset semantic word vector set, performing sentiment analysis on a to-be-analyzed text based on the trained neural network, and preprocessing the training text set to obtain a training sentiment score vector, specifically, performing word segmentation processing on the training text set, carrying out length cutting or correction on the training text set after word segmentation processing based on the preset text length to obtain a standard training text set, and a training emotion score vector set corresponding to the standard training text set is determined based on the sentiment dictionary, so that specific meanings of the text are analyzed, the sentiment dictionary can be combined with a neural network. Irregular texts can be effectively analyzed, the accuracy is high during sentiment analysis, and the operation efficiency is high.

Description

technical field [0001] The invention belongs to the technical field of artificial intelligence, and in particular relates to a sentiment analysis method. Background technique [0002] With the rise of social media, people have produced a large amount of information expressing people's various emotions and tendencies in the process of information interaction such as Weibo and comments. Through the analysis of emotional information, it is possible to better analyze user preferences and predict The development trend of things. At present, sentiment analysis has grown into one of the most active research fields in the field of natural language processing, and is widely used in marketing, analyzing public opinion and other fields. [0003] At present, the methods of sentiment analysis can be divided into two categories: methods based on sentiment lexicon and methods based on machine learning. The method of sentiment dictionary is based on dictionaries and rules. By finding vari...

Claims

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Application Information

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IPC IPC(8): G06F40/30G06F40/242G06N3/04G06N3/08
CPCG06F40/30G06F40/242G06N3/084G06N3/048G06N3/044
Inventor 罗瑜吴晓华令狐阳
Owner UNIV OF ELECTRONIC SCI & TECH OF CHINA
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