WO2017120739A1

WO2017120739A1 - Method and system for analyzing restaurant reviews

Info

Publication number: WO2017120739A1
Application number: PCT/CN2016/070577
Authority: WO
Inventors: 程强
Original assignee: 程强
Priority date: 2016-01-11
Filing date: 2016-01-11
Publication date: 2017-07-20
Also published as: CN105683947A

Abstract

A method for analyzing restaurant reviews, comprising the following steps: carrying out word segmentation on restaurant review information (102); identifying obscene language in a file resulted from word segmentation processing (102); and if obscene language is identified, deleting the review (103). This method offers advantages with respect to analyzing and processing reviews.

Description

Catering review analysis method and system

Technical field

The invention relates to the field of communication and catering, in particular to a method and system for analyzing catering comments.

Background technique

There are two main concepts of catering: one is diet, such as operating catering, providing catering. The second refers to the industry or institution that provides catering, to meet the dietary needs of diners, and thus to obtain the corresponding service income. Due to the different eating habits and tastes of different people in different regions and different cultures, the catering in the world shows a variety of characteristics. The catering market will enter the era of brand consumption, and the Chinese catering industry will continue to play a positive role in expanding consumption and promoting employment at a growth rate of 16%.

The existing catering reviews are not analyzed and processed accordingly, so some of the less-than-good reviews are also published on the restaurant's platform, such as some dirty words, which affect the image of the restaurant.

technical problem

A restaurant comment analysis method is provided, which solves the shortcomings of the prior art that the comments cannot be analyzed and processed.

Technical solution

In one aspect, a method for analyzing a restaurant comment is provided, the method comprising the steps of:

Perform word segmentation on the review information of the restaurant;

Perform dirty word recognition on the processed word segmentation;

If a dirty word is recognized, the comment is deleted.

Optionally, the method further includes:

The location information of the user who obtains the restaurant comment, and if there is no coordinate of the restaurant in the location information, the restaurant comment is deleted.

Optionally, the method further includes:

If the name of the dish is identified, the name of the dish is compared with the menu of the restaurant, and if the name of the item exists in the menu, the comment is topped.

In a second aspect, a restaurant review analysis system is provided, the system comprising:

a word segmentation unit for classifying the comment information of the restaurant;

a recognition unit, configured to perform dirty word recognition on the file processed by the word segmentation;

The delete unit is used to delete the comment if it is recognized as a dirty word.

Optionally, the system further includes:

The positioning unit is configured to obtain positioning information of the user of the restaurant comment, and if the positioning information does not have the coordinates of the restaurant, the restaurant comment is deleted.

Optionally, the system further includes:

The sorting unit is configured to, if the dish name is identified, compare the name of the dish with a menu of the restaurant, and if the name of the dish exists in the menu, the comment is topped.

Beneficial effect

The technical solution provided by the specific embodiment of the present invention performs word segmentation processing on the comment of the restaurant, and then recognizes the word processed by the word segmentation. If the dirty word is recognized, the comment of the restaurant is shielded, so that the comment on the restaurant is performed. Analyze the advantages of processing.

DRAWINGS

In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the embodiments or the description of the prior art will be briefly described below. Obviously, the drawings in the following description are only It is a certain embodiment of the present invention, and other drawings can be obtained from those skilled in the art without any creative work.

1 is a flow chart of a method for analyzing a restaurant comment provided by the present invention;

2 is a structural diagram of a restaurant comment analysis system provided by the present invention.

Embodiments of the invention

The technical solutions in the embodiments of the present invention are clearly and completely described in the following with reference to the accompanying drawings in the embodiments of the present invention. It is obvious that the described embodiments are only a part of the embodiments of the present invention, but not all embodiments. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative efforts are within the scope of the present invention.

Referring to FIG. 1 , FIG. 1 is a flowchart of a method for analyzing a restaurant comment according to a first preferred embodiment of the present invention. The method is implemented by a server. The method is as shown in FIG. 1 and includes the following steps:

Step S101, performing word segmentation processing on the comment information of the restaurant;

Step S102: performing dirty word recognition on the file processed by the word segmentation;

Step S103: If a dirty word is recognized, the comment is deleted.

Optionally, after the step S103, the foregoing method may further include:

Referring to FIG. 2, FIG. 2 is a catering comment analysis system according to a second preferred embodiment of the present invention. The system includes:

a word segmentation unit 201, configured to perform word segmentation processing on the review information of the restaurant;

The identifying unit 202 is configured to perform dirty word recognition on the word segmentation processed file;

The deleting unit 203 is configured to delete the comment if the dirty word is recognized.

Optionally, the above system may further include:

The locating unit 204 is configured to obtain positioning information of the user of the restaurant comment, and if there is no coordinate of the restaurant in the positioning information, the restaurant comment is deleted.

Optionally, the above system may further include:

The sorting unit 205 is configured to, if the dish name is identified, compare the name of the dish with a menu of the restaurant, and if the name of the dish exists in the menu, the comment is topped.

It should be noted that, for the foregoing method embodiments or embodiments, for the sake of simple description, they are all expressed as a series of action combinations, but those skilled in the art should know that the present invention is not subject to the described action sequence. Limitations, as certain steps may be performed in other sequences or concurrently in accordance with the present invention. In the following, those skilled in the art should also understand that the embodiments or examples described in the specification are preferred embodiments, and the actions and units involved are not necessarily required by the present invention.

In the above embodiments, the descriptions of the various embodiments are different, and the details that are not detailed in a certain embodiment can be referred to the related descriptions of other embodiments.

The steps in the method of the embodiment of the present invention may be sequentially adjusted, merged, and deleted according to actual needs.

The units in the apparatus of the embodiment of the present invention may be combined, divided, and deleted according to actual needs. Those skilled in the art can combine or combine the different embodiments described in the specification and the features of the different embodiments.

Through the description of the above embodiments, those skilled in the art can clearly understand that the present invention can be implemented in hardware, firmware implementation, or a combination thereof. When implemented in software, the functions described above may be stored in or transmitted as one or more instructions or code on a computer readable medium. Computer readable media includes both computer storage media and communication media including any medium that facilitates transfer of a computer program from one location to another. A storage medium may be any available media that can be accessed by a computer. Taking this as an example, but not limited to: the computer readable medium may include random access memory (Random) Access Memory, RAM), Read-Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (Electrically Erasable Programmable Read-Only Memory, EEPROM), Compact Disc Read-Only Memory, CD-ROM, or other optical disc storage, magnetic storage medium or other magnetic storage device, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer. Also. Any connection may suitably be a computer readable medium. For example, if the software is using coaxial cable, fiber optic cable, twisted pair, digital subscriber line (Digital Subscriber Line, DSL) or wireless technology such as infrared, radio and microwave transmission from a website, server or other remote source, then coaxial cable, fiber optic cable, twisted pair, DSL or such as infrared, wireless and microwave Wireless technology is included in the fixing of the associated medium. As used in the present invention, a disk and a disc include a compact disc (CD), a laser disc, a compact disc, a digital versatile disc (DVD), a floppy disk, and a Blu-ray disc, wherein the disc is usually magnetically copied, and the disc is The laser is used to optically replicate the data. Combinations of the above should also be included within the scope of the computer readable media.

In summary, the above description is only a preferred embodiment of the technical solution of the present invention, and is not intended to limit the scope of the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and scope of the present invention are intended to be included within the scope of the present invention.

Claims

A restaurant comment analysis method, characterized in that the method comprises the following steps:

Perform word segmentation on the review information of the restaurant;

Perform dirty word recognition on the processed word segmentation;

If a dirty word is recognized, the comment is deleted.
The method of claim 1 further comprising:

The location information of the user who obtains the restaurant comment, and if there is no coordinate of the restaurant in the location information, the restaurant comment is deleted.
The method of claim 1 further comprising:

If the name of the dish is identified, the name of the dish is compared with the menu of the restaurant, and if the name of the item exists in the menu, the comment is topped.
A restaurant comment analysis system, characterized in that the system comprises:

a word segmentation unit for classifying the comment information of the restaurant;

a recognition unit, configured to perform dirty word recognition on the file processed by the word segmentation;

The delete unit is used to delete the comment if it is recognized as a dirty word.
The system of claim 4, wherein the system further comprises:

The positioning unit is configured to obtain positioning information of the user of the restaurant comment, and if the positioning information does not have the coordinates of the restaurant, the restaurant comment is deleted.
The system of claim 4, wherein the system further comprises:

The sorting unit is configured to, if the dish name is identified, compare the name of the dish with a menu of the restaurant, and if the name of the dish exists in the menu, the comment is topped.