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An event emotion classification method based on text similarity

A text similarity and emotion classification technology, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve the problems of heavy monitoring workload and difficult text monitoring, and achieve the effect of reducing artificial parameters

Active Publication Date: 2018-12-07
CHENGDU REMARK TECH CO LTD +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In the face of massive data, it is difficult to ensure that all hotspots are monitored manually, and the monitoring workload is heavy during manual monitoring, and it is difficult to monitor a certain part of the text alone

Method used

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  • An event emotion classification method based on text similarity
  • An event emotion classification method based on text similarity
  • An event emotion classification method based on text similarity

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0047] A method for classifying event sentiment based on text similarity, comprising the following steps,

[0048] S001, use the text similarity clustering algorithm to cluster the text set into event A, analyze all the text in event A, that is, θ is 100%; here the value of θ can also be other values, mainly for the analysis text to confirm;

[0049] There are three records in event A, namely:

[0050] R1: The Dream of National Rejuvenation of the Sons and Daughters of China vol1: 10000;

[0051] R2: The great revival of the Chinese clan vol2: 2000;

[0052] R3: As sons and daughters of China with dreams, we move forward without hesitation vol3: 1000;

[0053] S002, using the trained vector model M to generate respective 300-dimensional vectors v1, V2, V3 for the text in event A,

[0054]v1=M(r1)=[0.11,0.04,-0.12,...,-0.11,-0.03]

[0055] v2=M(r2)=[-0.05,-0.18,-0.15,...,-0.05,0.21]

[0056] v3=M(r3)=[-0.18,0.22,-0.18,...,-0.08,0.02]

[0057] S003, according to v1, v2, v...

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Abstract

The invention discloses an event emotion classification method based on text similarity, comprising the following steps: S000, setting the emotion value of the whole event to be processed as S; S001,selecting and generating a single text emotion classification model; S002, clustering the text according to the cosine similarity; S003, setting partition parameters of the event; S004, for each eventclass event, selecting text judgment analysis according to sound volume value classification; S005, averaging all the text vectors in the event class, generating the averaging vector of the class, inputting the averaging vector into the application model, and outputting the averaging vector emotion value p_avg; S006, calculating the emotion value of the text with emotion tendency inside the event; S007, using emotion classification model to calculate the emotion value of the event; S008, judging the emotion classification of the event. The technical scheme can monitor and analyze a large number of texts, reduce manual parameters, and quickly judge the emotional classification of events, so as to achieve the purpose of monitoring public opinion.

Description

technical field [0001] The invention relates to the technical field of natural language processing, in particular to an event emotion classification method based on text similarity. Background technique [0002] With the increasing popularity of computers and the rapid development of the Internet, the Internet has become the main channel for users in many fields to express and give feedback on personal opinions and comments. These shared review information not only provide users with a platform for exchanging product experience, but also serve as a reference for other users before using the product. However, the information volume of these comments in the network is very large. If each piece of comment information is manually read and analyzed for good or bad, it will waste a lot of time for users. Therefore, how to allow users to objectively understand the quality of the overall evaluation reflected by the review information of a certain product in a short period of time, ...

Claims

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Application Information

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IPC IPC(8): G06F17/30
Inventor 辛如意
Owner CHENGDU REMARK TECH CO LTD
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