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A sentiment analysis method and device for automobile word-of-mouth

A technology of sentiment analysis and automobile, applied in the field of sentiment analysis of automobile word-of-mouth, can solve the problems of incomplete sample data, troublesome, large maintenance, etc., achieve the effect of improving classification accuracy, solving memory problems, and avoiding overfitting phenomenon

Active Publication Date: 2021-06-15
广州威尔森信息科技有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0009] In view of this, this application provides a sentiment analysis method and device for car word-of-mouth, which solves the problem of large and troublesome post-maintenance caused by natural language and the overfitting technology caused by incomplete sample data caused by traditional machine learning methods question

Method used

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  • A sentiment analysis method and device for automobile word-of-mouth
  • A sentiment analysis method and device for automobile word-of-mouth
  • A sentiment analysis method and device for automobile word-of-mouth

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Embodiment 1

[0071] see figure 1 , the present invention provides a kind of embodiment one of the emotion analysis method of automobile word-of-mouth, comprising:

[0072] Step 101, obtaining car word-of-mouth data for training and testing from the car platform.

[0073] It should be noted that before analyzing the word-of-mouth of new cars, a hidden Markov model for analyzing word-of-mouth of new cars must be constructed. Therefore, in this application, the data of word-of-mouth of cars used for training and testing is first obtained from the car platform. .

[0074] Step 102 , based on natural language processing, perform entity extraction of car configuration items, emotional words, degree words, and negative words from the car word-of-mouth data, and obtain sample data after judging the emotional polarity of the cut corpus where the car configuration items are located.

[0075] In this embodiment, after the car word-of-mouth data is obtained from the car platform, based on natural la...

Embodiment 2

[0089] see figure 2 , the present invention provides a second embodiment of the sentiment analysis method of automobile word-of-mouth, including:

[0090] Step 201, obtaining car word-of-mouth data for training and testing from the car platform.

[0091] Understandably, if image 3 Shown is a functional block diagram of the car word-of-mouth sentiment analysis in this embodiment.

[0092] Specific semantic analysis such as Figure 4 , Figure 4 Among them, the ordinate is the first-level indicator in the original comment, the abscissa is the first-level indicator after proofreading through the program, and the color code represents the correlation, here multiplied by 100, the sum of each row of indicators is 100, and the sample size is randomly selected 6 10,000 comments, for example, 96.79% of Space has been judged as Space after correcting the corpus, and 3.21% has been judged as Cost-effective, indicating that the user has written the description under the topic of Cos...

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Abstract

The present application discloses a method and device for sentiment analysis of car word of mouth, wherein the method includes: acquiring car word of mouth data; processing the car word of mouth data to obtain sample data based on natural language processing; constructing a training set and a test set based on the sample data; data, construct hidden Markov models with positive, medium and negative emotional polarities corresponding to each vehicle configuration item; train the hidden Markov model through the training set and test set, and save the trained hidden Markov models Model; obtain the new car word-of-mouth data, and perform sentiment polarity analysis based on the car configuration items on the new car word-of-mouth data based on the saved hidden Markov model, and obtain sentiment analysis results; based on the preset indicator dimensions, summarize the corresponding sentiment analysis results. The index dimension results are displayed afterward, which solves the problem of large and troublesome maintenance caused by natural language in the later stage and the technical problem of over-fitting caused by incomplete sample data caused by traditional machine learning methods.

Description

technical field [0001] The present application relates to the technical field of automobile data analysis, in particular to a method and device for sentiment analysis of automobile word-of-mouth. Background technique [0002] With the rapid development of online social media, sentiment analysis has become one of the most active research fields in natural language processing (NLP). Whether it is an individual or an enterprise, this embodiment often needs to rely on the opinions of others to make a decision. Therefore, the importance of sentiment analysis has aroused the common concern of the whole society. [0003] In the subdivided field of automobiles, users will post a large number of comments (that is, automobile word-of-mouth data) during the process of buying and using cars. Enterprises hope to automatically mine the evaluation attitudes of users in the comments, so as to correctly analyze customer emotions and accurately locate product problems. , and then meet custo...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F40/295G06F16/35G06K9/62G06Q10/06G06F9/50
CPCG06F40/295G06F16/35G06F9/5027G06Q10/06393G06F2209/5018G06F18/214
Inventor 陈晶李奏换卢春霞黎秋怡刘丹梁维新
Owner 广州威尔森信息科技有限公司
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