CN112232056A - Intelligent algorithm system for vehicle condition analysis - Google Patents
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Abstract
The invention discloses an intelligent algorithm system for vehicle condition analysis, which comprises a preprocessing module, an automobile industry knowledge corpus, a natural language processing text analysis module and a vehicle condition rating matching module, wherein the preprocessing module is used for preprocessing vehicle condition information; the automobile industry knowledge corpus is used for storing professional vocabularies related to the automobile industry; the natural language processing text analysis module is used for converting data in a non-language format into a language format which can be understood by human beings, and converting texts which are complicated in complexity, difficult in law searching and diversified in expression modes into popular and easily understood text contents; and the vehicle condition rating matching module is used for carrying out comprehensive rating and scoring on the vehicle conditions. The intelligent algorithm system for vehicle condition analysis is used for vehicle condition analysis and rating, has comprehensive language materials in the field of automobiles, enables the rating of the automobiles to be more accurate, avoids the phenomenon of misjudgment, and facilitates pricing of the automobiles in the later period.
Description
Technical Field
The invention relates to the field of second-hand vehicle transaction rating, in particular to an intelligent algorithm system for vehicle condition analysis.
Background
In the second-hand vehicle transaction process, both buyers and sellers can inquire or purchase historical data of vehicles to be traded, but the historical data of the vehicles has disordered semantics, no context, more wrongly written characters, nonstandard punctuation marks, relates to various characteristic parts of speech, has stronger knowledge dependence, such as 'proper nouns', 'verbs', 'named entities' and the like, and makes a user difficult to read data contents, so that the condition that the user misjudges the vehicle condition exists;
at present, when a used vehicle is transacted, vehicle historical data is interpreted by using an expert in the field for analyzing the condition of the vehicle, namely, the vehicle condition is analyzed by a user in an artificial interpretation mode, the intelligent degree is low, the analysis efficiency is low, and the phenomenon of misjudgment is easy to occur.
Disclosure of Invention
The invention mainly aims to provide an intelligent algorithm system for vehicle condition analysis, which can effectively solve the problems in the background technology.
In order to achieve the purpose, the invention adopts the technical scheme that:
an intelligent algorithm system for vehicle condition analysis comprises a preprocessing module, a vehicle industry knowledge corpus, a natural language processing text analysis module and a vehicle condition rating matching module, wherein the preprocessing module is used for preprocessing vehicle condition information;
the automobile industry knowledge corpus is used for storing professional vocabularies related to the automobile industry;
the natural language processing text analysis module is used for converting data in a non-language format into a language format which can be understood by human beings, and converting texts which are complicated in complexity, difficult in law searching and diversified in expression modes into popular and easily understood text contents;
the vehicle condition rating matching module is used for carrying out comprehensive rating and scoring on vehicle conditions.
Preferably, the preprocessing module specifically comprises the steps of inputting the user data of the lamp strip and filtering sensitive words, wherein the sensitive words comprise names, identification numbers and mobile phone numbers.
Preferably, the vehicle industry knowledge corpus is a computer database, the vehicle industry knowledge corpus can obtain a corpus owned by one of the two parties through continuous extraction and analysis of big data, and the corpus is dynamic and can be continuously supplemented and corrected.
Preferably, the computer database further stores a specific phrase influencing the vehicle condition rating and a score corresponding to the specific phrase.
Preferably, the natural language processing text analysis module specifically comprises the following analysis steps:
s1, segmenting the data paragraph text through punctuation marks to obtain single sentence text data, cleaning useless data, and determining the text content finally analyzed;
s2, segmenting a single sentence to obtain a plurality of words and the part of speech of each word, judging the part of speech of each word, finally keeping the noun and the verb v, and removing other parts of speech;
recombining and sequencing the rest phrases according to a v + n format to form a new expression statement;
and S3, combining the recombined sentences together to form a complete sentence and outputting the complete sentence.
Preferably, the useless data cleaned in the step (S1) includes spaces and punctuation marks.
Preferably, the vehicle condition rating matching module is specifically:
matching a single phrase obtained by analyzing by a natural language processing text analysis module with a special phrase influencing vehicle condition rating;
each word is matched, the score corresponding to the word is subtracted from the total rating to obtain a final score;
and obtaining a rating result through the final score.
Compared with the prior art, the invention has the following beneficial effects:
the vehicle industry knowledge corpus is set, is a computer database, can obtain the self-owned corpus of the user through continuous extraction and analysis of big data, has dynamic property, and can be continuously supplemented and corrected, so that the system has comprehensive linguistic data in the vehicle field, the rating of the vehicle is more accurate, the phenomenon of misjudgment is avoided, and the vehicle can be priced at the later stage conveniently;
according to the invention, the natural language processing text analysis module is arranged, and the natural language processing text analysis module can convert data in a non-language format into a language format which can be understood by human beings, and converts texts which are complicated in complexity, difficult in law searching and diversified in expression mode into popular and understandable text contents, so that the simplicity of automobile rating is greatly improved, the intelligent degree of automobile rating is higher, the rating speed is higher, and the efficiency is higher.
Drawings
Fig. 1 is a block diagram of a flow chart of an intelligent algorithm system for vehicle condition analysis according to the present invention.
Detailed Description
In order to make the technical means, the creation characteristics, the achievement purposes and the effects of the invention easy to understand, the invention is further described with the specific embodiments.
Example 1
The embodiment discloses an intelligent algorithm system for vehicle condition analysis, which comprises a preprocessing module, an automobile industry knowledge corpus, a natural language processing text analysis module and a vehicle condition rating matching module, wherein the preprocessing module is used for preprocessing vehicle condition information;
the automobile industry knowledge corpus is used for storing professional vocabularies related to the automobile industry;
the natural language processing text analysis module is used for converting data in a non-language format into a language format which can be understood by human beings, and converting texts which are complicated in complexity, difficult in law searching and diversified in expression modes into popular and easily understood text contents;
and the vehicle condition rating matching module is used for carrying out comprehensive rating and scoring on the vehicle conditions.
Example 2
The embodiment discloses an intelligent algorithm system for vehicle condition analysis, which comprises a preprocessing module, an automobile industry knowledge corpus, a natural language processing text analysis module and a vehicle condition rating matching module, wherein the preprocessing module is used for preprocessing vehicle condition information;
the automobile industry knowledge corpus is used for storing professional vocabularies related to the automobile industry;
the natural language processing text analysis module is used for converting data in a non-language format into a language format which can be understood by human beings, and converting texts which are complicated in complexity, difficult in law searching and diversified in expression modes into popular and easily understood text contents;
and the vehicle condition rating matching module is used for carrying out comprehensive rating and scoring on the vehicle conditions.
The preprocessing module specifically comprises the steps of inputting the user data of the lamp strip and filtering sensitive words, wherein the sensitive words comprise names, identification card numbers and mobile phone numbers.
The automobile industry knowledge corpus is specifically a computer database, the automobile industry knowledge corpus can obtain the corpus owned by one person through continuous extraction and analysis of big data, and the corpus is dynamic and can be continuously supplemented and corrected.
The computer database also stores the special phrases influencing the vehicle condition rating and the corresponding scores of the special phrases.
The natural language processing text analysis module comprises the following specific analysis steps:
s1, segmenting the data paragraph text through punctuation marks to obtain single sentence text data, cleaning useless data, and determining the text content finally analyzed;
s2, segmenting a single sentence to obtain a plurality of words and the part of speech of each word, judging the part of speech of each word, finally keeping the noun and the verb v, and removing other parts of speech;
recombining and sequencing the rest phrases according to a v + n format to form a new expression statement;
and S3, combining the recombined sentences together to form a complete sentence and outputting the complete sentence.
The useless data cleaned in step (S1) includes spaces and punctuation marks.
The vehicle condition rating matching module specifically comprises:
matching a single phrase obtained by analyzing by a natural language processing text analysis module with a special phrase influencing vehicle condition rating;
each word is matched, the score corresponding to the word is subtracted from the total rating to obtain a final score;
and obtaining a rating result through the final score.
The total rating is 100 points, and the specific score criteria are as follows (table 1):
| score interval | Corresponding rating | Description of the invention |
| 80-100 | A | Good vehicle condition |
| 70-80 | B | Good vehicle condition |
| 50-70 | C | General conditions of the vehicle |
| ≤50 | D | Poor vehicle condition |
TABLE 1
As can be seen by combining embodiment 1-embodiment 2 and table 1, the vehicle industry knowledge corpus is set, and the vehicle industry knowledge corpus is a computer database, and the corpus owned by the owner can be obtained through continuous extraction and analysis of big data, and the corpus has dynamic property and can be continuously supplemented and corrected, so that the system of the invention has comprehensive linguistic data in the vehicle field, the rating of the vehicle is more accurate, the phenomenon of misjudgment is avoided, and the vehicle can be priced at a later stage conveniently;
according to the invention, the natural language processing text analysis module is arranged, and the natural language processing text analysis module can convert data in a non-language format into a language format which can be understood by human beings, and converts texts which are complicated in complexity, difficult in law searching and diversified in expression mode into popular and understandable text contents, so that the simplicity of automobile rating is greatly improved, the intelligent degree of automobile rating is higher, the rating speed is higher, and the efficiency is higher.
The foregoing shows and describes the general principles and broad features of the present invention and advantages thereof. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, which are described in the specification and illustrated only to illustrate the principle of the present invention, but that various changes and modifications may be made therein without departing from the spirit and scope of the present invention, which fall within the scope of the invention as claimed. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (7)
1. An intelligent algorithm system for vehicle condition analysis is characterized by comprising a preprocessing module, an automobile industry knowledge corpus, a natural language processing text analysis module and a vehicle condition rating matching module, wherein the preprocessing module is used for preprocessing vehicle condition information;
the automobile industry knowledge corpus is used for storing professional vocabularies related to the automobile industry;
the natural language processing text analysis module is used for converting data in a non-language format into a language format which can be understood by human beings, and converting texts which are complicated in complexity, difficult in law searching and diversified in expression modes into popular and easily understood text contents;
the vehicle condition rating matching module is used for carrying out comprehensive rating and scoring on vehicle conditions.
2. The intelligent algorithm system for vehicle condition analysis according to claim 1, wherein: the preprocessing module specifically comprises the steps of inputting the user data of the lamp strip and filtering sensitive words, wherein the sensitive words comprise names, identification card numbers and mobile phone numbers.
3. The intelligent algorithm system for vehicle condition analysis according to claim 1, wherein: the automobile industry knowledge corpus is specifically a computer database, the automobile industry knowledge corpus can obtain a corpus owned by one person through continuous extraction and analysis of big data, and the corpus is dynamic and can be continuously supplemented and corrected.
4. The intelligent algorithm system for vehicle condition analysis according to claim 3, wherein: the computer database also stores special phrases influencing the vehicle condition rating and corresponding scores of the special phrases.
5. The intelligent algorithm system for vehicle condition analysis according to claim 1, wherein: the natural language processing text analysis module comprises the following specific analysis steps:
s1, segmenting the data paragraph text through punctuation marks to obtain single sentence text data, cleaning useless data, and determining the text content finally analyzed;
s2, segmenting a single sentence to obtain a plurality of words and the part of speech of each word, judging the part of speech of each word, finally keeping the noun and the verb v, and removing other parts of speech;
recombining and sequencing the rest phrases according to a v + n format to form a new expression statement;
and S3, combining the recombined sentences together to form a complete sentence and outputting the complete sentence.
6. The intelligent algorithm system for vehicle condition analysis according to claim 5, wherein: the useless data cleaned in the step (S1) includes spaces and punctuation marks.
7. The intelligent algorithm system for vehicle condition analysis according to claim 4, wherein: the vehicle condition rating matching module specifically comprises:
matching a single phrase obtained by analyzing by a natural language processing text analysis module with a special phrase influencing vehicle condition rating;
each word is matched, the score corresponding to the word is subtracted from the total rating to obtain a final score;
and obtaining a rating result through the final score.
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