WO2017120739A1 - Procédé et système d'analyse de critiques de restaurants - Google Patents
Procédé et système d'analyse de critiques de restaurants Download PDFInfo
- Publication number
- WO2017120739A1 WO2017120739A1 PCT/CN2016/070577 CN2016070577W WO2017120739A1 WO 2017120739 A1 WO2017120739 A1 WO 2017120739A1 CN 2016070577 W CN2016070577 W CN 2016070577W WO 2017120739 A1 WO2017120739 A1 WO 2017120739A1
- Authority
- WO
- WIPO (PCT)
- Prior art keywords
- restaurant
- comment
- name
- dish
- word segmentation
- Prior art date
Links
- 238000000034 method Methods 0.000 title claims abstract description 20
- 238000012552 review Methods 0.000 title claims abstract description 11
- 230000011218 segmentation Effects 0.000 claims abstract description 21
- 238000004458 analytical method Methods 0.000 claims description 6
- 238000012545 processing Methods 0.000 abstract description 10
- 230000009471 action Effects 0.000 description 3
- 238000004891 communication Methods 0.000 description 2
- 235000005911 diet Nutrition 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 239000000835 fiber Substances 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 238000004590 computer program Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000037213 diet Effects 0.000 description 1
- 230000000378 dietary effect Effects 0.000 description 1
- 235000006694 eating habits Nutrition 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 230000001737 promoting effect Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 235000019640 taste Nutrition 0.000 description 1
- 238000012546 transfer Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F40/00—Handling natural language data
- G06F40/30—Semantic analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/12—Hotels or restaurants
Definitions
- the invention relates to the field of communication and catering, in particular to a method and system for analyzing catering comments.
- catering 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%.
- a restaurant comment analysis method is provided, which solves the shortcomings of the prior art that the comments cannot be analyzed and processed.
- a method for analyzing a restaurant comment comprising the steps of:
- the method further includes:
- the method further includes:
- 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 review analysis 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.
- 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.
- 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.
- 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.
- FIG. 1 is a flow chart of a method for analyzing a restaurant comment provided by the present invention
- FIG. 2 is a structural diagram of a restaurant comment analysis system provided by the present invention.
- 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.
- 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.
- the foregoing method may further include:
- the foregoing method may further include:
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
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- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Business, Economics & Management (AREA)
- Physics & Mathematics (AREA)
- Tourism & Hospitality (AREA)
- General Physics & Mathematics (AREA)
- General Health & Medical Sciences (AREA)
- General Engineering & Computer Science (AREA)
- Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Strategic Management (AREA)
- Artificial Intelligence (AREA)
- Economics (AREA)
- Human Resources & Organizations (AREA)
- Marketing (AREA)
- Computational Linguistics (AREA)
- Audiology, Speech & Language Pathology (AREA)
- General Business, Economics & Management (AREA)
- Data Mining & Analysis (AREA)
- Databases & Information Systems (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
- Machine Translation (AREA)
- Medical Treatment And Welfare Office Work (AREA)
Abstract
L'invention a trait à un procédé d'analyse de critiques de restaurants, comprenant les étapes qui consistent : à réaliser une segmentation de mots sur des informations de critique de restaurant (101) ; à identifier un langage obscène dans un fichier résultant du traitement de segmentation de mots (102) ; et, si un langage obscène est identifié, à supprimer la critique (103). Ce procédé offre des avantages quant à l'analyse et au traitement de critiques.
Priority Applications (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
PCT/CN2016/070577 WO2017120739A1 (fr) | 2016-01-11 | 2016-01-11 | Procédé et système d'analyse de critiques de restaurants |
CN201680000127.0A CN105683947A (zh) | 2016-01-11 | 2016-01-11 | 餐饮评论分析方法及系统 |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
PCT/CN2016/070577 WO2017120739A1 (fr) | 2016-01-11 | 2016-01-11 | Procédé et système d'analyse de critiques de restaurants |
Publications (1)
Publication Number | Publication Date |
---|---|
WO2017120739A1 true WO2017120739A1 (fr) | 2017-07-20 |
Family
ID=56215935
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
PCT/CN2016/070577 WO2017120739A1 (fr) | 2016-01-11 | 2016-01-11 | Procédé et système d'analyse de critiques de restaurants |
Country Status (2)
Country | Link |
---|---|
CN (1) | CN105683947A (fr) |
WO (1) | WO2017120739A1 (fr) |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2020076179A1 (fr) * | 2018-10-11 | 2020-04-16 | Общество С Ограниченной Ответственностью "Глобус Медиа" | Procédé de détermination de tags pour hôtels et dispositif de mise en oeuvre |
Families Citing this family (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106934492A (zh) * | 2017-02-24 | 2017-07-07 | 深圳市金立通信设备有限公司 | 一种预测卫生信息的方法及终端 |
CN109213858B (zh) * | 2017-06-19 | 2021-07-27 | 中国科学院信息工程研究所 | 一种网络水军的自动识别方法及系统 |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102279894A (zh) * | 2011-09-19 | 2011-12-14 | 嘉兴亿言堂信息科技有限公司 | 基于语义的查找、集成和提供评论信息的方法及搜索系统 |
CN102708202A (zh) * | 2012-05-17 | 2012-10-03 | 厦门游家网络有限公司 | Flash游戏批量分享玩家心得的方法 |
CN104536980A (zh) * | 2014-12-05 | 2015-04-22 | 百度在线网络技术(北京)有限公司 | 一种确定候评项的质量信息的方法与装置 |
CN104994119A (zh) * | 2013-09-30 | 2015-10-21 | 拓广科技股份有限公司 | 信息产生与分享方法 |
CN105205699A (zh) * | 2015-09-17 | 2015-12-30 | 北京众荟信息技术有限公司 | 基于酒店点评的用户标签和酒店标签匹配方法及装置 |
Family Cites Families (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101964000B (zh) * | 2010-11-09 | 2013-05-15 | 焦点科技股份有限公司 | 一种敏感词自动过滤管理系统 |
KR101313791B1 (ko) * | 2011-09-09 | 2013-10-01 | 경북대학교 산학협력단 | 토픽 기반 sns 서비스 제공 방법 |
CN105225157A (zh) * | 2015-09-15 | 2016-01-06 | 珠海赞友科技有限公司 | 一种净化社交软件聊天内容的方法 |
-
2016
- 2016-01-11 CN CN201680000127.0A patent/CN105683947A/zh active Pending
- 2016-01-11 WO PCT/CN2016/070577 patent/WO2017120739A1/fr active Application Filing
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102279894A (zh) * | 2011-09-19 | 2011-12-14 | 嘉兴亿言堂信息科技有限公司 | 基于语义的查找、集成和提供评论信息的方法及搜索系统 |
CN102708202A (zh) * | 2012-05-17 | 2012-10-03 | 厦门游家网络有限公司 | Flash游戏批量分享玩家心得的方法 |
CN104994119A (zh) * | 2013-09-30 | 2015-10-21 | 拓广科技股份有限公司 | 信息产生与分享方法 |
CN104536980A (zh) * | 2014-12-05 | 2015-04-22 | 百度在线网络技术(北京)有限公司 | 一种确定候评项的质量信息的方法与装置 |
CN105205699A (zh) * | 2015-09-17 | 2015-12-30 | 北京众荟信息技术有限公司 | 基于酒店点评的用户标签和酒店标签匹配方法及装置 |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2020076179A1 (fr) * | 2018-10-11 | 2020-04-16 | Общество С Ограниченной Ответственностью "Глобус Медиа" | Procédé de détermination de tags pour hôtels et dispositif de mise en oeuvre |
Also Published As
Publication number | Publication date |
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CN105683947A (zh) | 2016-06-15 |
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