WO2016208805A1

WO2016208805A1 - Naming analysis server and analysis method

Info

Publication number: WO2016208805A1
Application number: PCT/KR2015/008235
Authority: WO
Inventors: 박정민
Original assignee: 주식회사 비엔알아이
Priority date: 2015-06-23
Filing date: 2015-08-06
Publication date: 2016-12-29
Also published as: KR20170000468A; KR101699478B1

Abstract

Embodiments of the present invention may comprise: a sensitive information database which stores sensitive information allocated and stored for each word on a country basis; a naming word determination unit which determines a word inputted by a user as a naming word to be analyzed; a naming word search unit which searches the sensitive information database for sensitive information corresponding to the naming word; and a naming word result provision unit which displays a sensitive information search result on a display window.

Description

Naming Analysis Server and Analysis Methods

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a naming analysis server and an analysis method. The present invention relates to a naming analysis server and an analysis method for analyzing a naming operation such as a brand.

Recently, exports of Korean products and contents have continued to increase, and cultural factors such as characters, games, and entertainment are rapidly becoming global.

Therefore, it is common to produce products with global exports in mind from the initial planning stage. Accordingly, brand names, product names, and character names need to be applied globally beyond Korean ones.

However, many misunderstandings are caused by similar phonetic words due to differences in language and culture in each country, which often play a critical role in the proliferation of products and contents. For example, Korea's representative character 'Pororo' is a problem because it is associated with 'porn' in English and English.

In addition, the feeling of the name's pronunciation is different for each language, because each language has different onomatopoeia. For example, the pronunciation of 'Oying' is similar to the surprise / curiosity interjection of Koreans, reminiscent of a baby or a cute feeling, but in the United Kingdom, it can be reminiscent of a pig's grunt 'oink', which can be reminiscent of greedy or dirty.

In addition, it is a problem because of cultural factors of the day beyond the linguistic similarity. The famous Korean beer brand 'Hite Hite' is similar in pronunciation to 'white white', which makes a negative impression on African Americans who are sensitive to racism. Can be.

The naming of products taking into account the linguistic and cultural characteristics of each country can play an important role in not only reducing the revenue but also preventing the national image and further preventing anti-emotional sentiment.

However, naming verification of a large number of products and characters, not only in SMEs but also in large corporations, takes enormous time and money. Therefore, qualitative verification using experts is performed only on major products, but the need for naming verification is increasing.

An object of the present invention is to provide a naming analysis server and method that provides information on a word that is naming during naming operations such as a brand. In addition, by systematically collecting the linguistic and cultural characteristics of the exporting country, companies can easily and inexpensively perform naming verification.

An embodiment of the present invention includes an emotional information database in which emotional information is allocated and stored for each word of each country; A naming word determination unit that determines a word input from a user as a naming word that is a word to be analyzed; A naming word retrieval unit for retrieving whether there is emotional information matching a naming word through the emotional information database; And a naming word result providing unit configured to display a search result of emotion information on a display window.

The naming analysis server may include a terminology database in which country-specific terminology is assigned and stored for each country. The naming word search unit searches whether the terminology matching the naming word exists through the terminology database, and the naming word result. The providing unit may display the search result of the terminology on the display window of the user terminal.

The naming word determination unit may display phonetic symbols having similarities within a set error range when compared with phonetic symbols of an input word, and may select one phonetic symbol from the phonetic symbols as a naming word. .

The naming word may be characterized as having a combined form of syllables.

The presence of a contraindication that matches the naming word may be determined as a contraindication that matches the naming word when the pronunciation of the naming word and the pronunciation of the contraindication exceed a predetermined first threshold similarity.

In the emotion information database, emotion information may be stored for each country for each pronunciation of an emotion word.

Whether there is emotional information matching the naming word may be determined that the emotional information matching the naming word exists when the pronunciation of the naming word and the pronunciation of the emotional word exceed a preset second threshold similarity. .

In addition, an embodiment of the present invention, the process of determining the word received from the user as a naming word; A searching step of searching for presence of emotional information matching the naming word; And a display process of displaying a search result of emotion information on a display window of the user terminal.

The searching process may include searching for whether there is a term corresponding to the naming word, and the displaying may include displaying a search result of the term on a display window of the user terminal.

The determining of the naming word includes displaying phonetic symbols having similarities within a set error range when compared to phonetic symbols of an input word, and selecting one phonetic symbol from the user as a naming word. You can decide.

According to an embodiment of the present invention, the problem of content competitiveness due to linguistic barriers can be solved in an age where content is important. It can be applied to the character industry, brand, and product name such as education, games, novels, and cartoons, and can contribute to the establishment of OSMU system that is important for business expansion and globalization market. It also has the effect of preventing the national image from falling.

1 is a diagram showing the configuration of a naming analysis system apparatus according to an embodiment of the present invention.

2 is a block diagram of a user terminal according to an embodiment of the present invention;

Figure 3 is a block diagram showing the configuration of a naming analysis server according to an embodiment of the present invention.

Figure 4 is a diagram showing a phonetic symbol selection window according to an embodiment of the present invention.

5 is a flowchart illustrating a naming analysis process of a naming analysis server according to an embodiment of the present invention.

Figure 6 is a table grouping the three dimensions of emotion, emotion evaluation / brand value evaluation / style evaluation of 16 dimensions.

Figure 7 is a questionnaire relative to the 16 emotional scores.

8 is a classification reference table of consonants.

9 is a diagram illustrating vowel-specific intensity scale data that is digitized for a categorical scale.

10 shows an example of calculating a distance between syllables.

DETAILED DESCRIPTION Hereinafter, the most preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings so that those skilled in the art can easily implement the present invention. . Other objects, features, and operational advantages, including the object, operational effects of the present invention, will become more apparent from the description of the preferred embodiment. In the following description of the reference numerals to the components of the drawings it should be noted that the same reference numerals as possible even if displayed on different drawings.

1 is a diagram showing the configuration of a naming analysis system apparatus according to an embodiment of the present invention, Figure 2 is a block diagram of a user terminal according to an embodiment of the present invention.

By analyzing phonemes as a reference, they can be compared regardless of the specificity of each language such as Korean, English, Chinese, and Japanese. Overcoming Korean limitations In other words, Korea is the only country that uses Korean language, so words or phonemes that reflect emotions in Korea in product launches, brands, and character naming may be problematic in other countries.

In an age where content is important, language competitiveness can solve the problem of content competitiveness. It can be applied to the character industry, brand, and product name such as education, games, novels, and cartoons, and can contribute to the establishment of OSMU system that is important for business expansion and globalization market. It also has the effect of preventing the national image from falling. Recently, Korean celebrities and singers are expanding overseas due to the popularity of the Korean Wave and K-POP.

The present invention provides a country-specific analysis when naming a brand or a product name so that a user can utilize it for verification.

Accordingly, the present invention compares and analyzes pronunciations of four languages (Korean, Chinese, Japanese, and English), and uses 24 phoneme systems to simply reorganize existing phoneme systems such as IPA, BUCKEYE, etc., based on more general pronunciation criteria. It is characterized by developing and applying it.

To this end, the naming analysis system apparatus of the present invention may include a wired / wireless communication network 300, a user terminal 100, and a naming analysis server 200 as shown in FIG. 1.

The wired / wireless communication network 300 is a communication network that transmits a search request word received from the user terminal 100 to the naming analysis server 200 and transmits the analysis result of the naming analysis server 200 to the user terminal 100. When the wired / wireless communication network 300 is implemented as a wireless communication network, a wireless mobile communication network including a base transceiver station (BTS), a mobile switching center (MSC), and a home location register (HLR) is provided. Data communication is possible. For reference, a mobile radio communication network may include, but is not limited to, a base station (BTS), a mobile switching center (MSC), and a home location register (HLR). It may further include a component such as a data serving node). In addition, when the wired / wireless communication network 300 is implemented as a wired communication network, it may be implemented as a network communication network, and data communication may be performed according to an Internet protocol such as Transmission Control Protocol / Internet Protocol (TCP / IP).

The user terminal 100 receives a search request word from a user who is performing a naming task from the user, and also corresponds to a country-specific terminology for the search request word input from the naming analysis server 200, or country-specific emotion information. Display analysis information about the presence of a file. In the following description of the present invention, a smart phone will be described as an example of the user terminal 100, but not only a smart phone but also a desktop PC, a tablet PC, a slate PC ), Notebook computer, digital broadcasting terminal, PDA (Personal Digital Assistants), PMP (Portable Multimedia Player), Navigation, Digital Camera, MP3P (MPEG layer 3 Player) Can be. Of course, the terminal to which the present invention is applicable is not limited to the above-described type, and of course, may include all terminals capable of communicating with external devices.

Here, a smart phone is an intelligent terminal in which a computer support function such as internet communication and information search is added to a mobile phone, and an application desired by a user can be installed. Smartphones combine the advantages of mobile phones and personal digital assistants (PDAs), integrating data communication functions such as calendaring, fax transmission and reception, and Internet access. Not only can you connect directly to the Internet using the wireless Internet, but you can also access it in various ways using a variety of browsing programs. In addition, unlike existing mobile phones, hundreds of various applications (applications) can be installed and added or deleted as desired by the user, so that users can create their own desired applications. Can be implemented.

As illustrated in FIG. 2, the user terminal 100 implemented as a smartphone may include an RF unit 140, a data processing unit 150, an input unit 120, a display window 130, and a controller 110. have.

The RF unit 140 is a module that communicates with a mobile communication network such as 3G (3G), 4G (4G), etc., and an RF transmitter (not shown) for upconverting and amplifying a frequency of a transmitted signal and a received signal. It includes an RF receiver (not shown) and the like to amplify low noise and down-convert the frequency.

The data processor 150 demodulates and decodes a received signal to extract a data packet, or modulates and encodes a data packet to be transmitted and converts the signal into a signal. To this end, the data processor 150 may be configured of a modem and a codec. Here, the codec may process a data codec for processing data.

The display window 130 is provided on the front of the user terminal 100 and is display means for displaying a work screen. In the present invention, the analysis result received from the naming analysis server 200 is displayed. The display window 130 may be implemented as a display window such as an LCD or an LED, or may be implemented as a touch screen panel capable of simultaneously performing input and display. The touch screen panel is not only a screen display means but also an input means for detecting a touch by a touch means such as a touch pen or a finger.

The input unit 120 performs a function of receiving a search request word at the time of naming by arranging various keyboards such as character buttons, symbol buttons, and special buttons. When the display window 130 is implemented as a touch screen panel, the keyboard arrangement keyboard, which is the input unit 120, is overlapped and displayed on the work screen of the display unit in a graphic form. The touch screen panel may be implemented as a touch panel of any one of a resistive film type, a capacitive type, an infrared type, and an ultrasonic type.

The control unit 110 controls the RF unit 140, the data processing unit 150, the input unit 120, and the display window 130 to receive a search request word from the user and transmit the search request word to the naming analysis server 200. Control to receive the analysis result from the analysis server 200 to display on the display window 130. For reference, the controller 110 may be installed and implemented in the user terminal 100 in the form of an application.

3 is a diagram illustrating a configuration of a naming analysis server according to an embodiment of the present invention.

Referring to FIG. 3, the naming analysis server 200 may include a server communication unit 210, a taboo database 220, an emotion information database 230, a naming word determination unit 240, a naming word search unit 250, and The naming word result providing unit 260 may be included.

The server communication unit 210 supports hardware and software protocols for communicating with the user terminal 100. The server communication unit 210 may perform data communication according to an Internet protocol such as, for example, Transmission Control Protocol / Internet Protocol (TCP / IP).

The terminology database 220 is a database (DB; Database) assigned and stored for each country. For example, in the case of the character 'Pororo', there is a problem of reminiscent of pornography in English, so 'Poro' may correspond to a taboo in the United States. In addition, Mitsubishi's 'Pajero' car is a Spanish terminology because it means a man masturbating in Spain. In addition, Nexon's game Mabinogi is pronounced as a slang for shit in the United States and can be a taboo term in the United States.

The gold gear is categorized into 6 major and 37 subclasses, and 1000 data are collected for each country. Collected taboos can have 11 pieces of information: country / national language / English alphabet / GNS phoneme information / matching phoneme information / Korean meaning / English meaning / taboo major classification / taboo small classification / prominence / strength.

The remarkableness was replaced with data by experimenting with the degree easily found through eye tracking, and the intensity was reflected by the strong response by classification through the EEG analysis of the gold gears corresponding to the large and small categories.

The emotion information database 230 is a database (DB) which is assigned and stored emotion information for each country word. The feeling of the name's pronunciation varies from language to language, because each language has a different onomatopoeia. Accordingly, the emotion information database 230 may store emotion information for each country for each pronunciation of the emotion word. For example, the pronunciation of 'Oying' is similar to the surprise / curiosity interjection to Koreans, reminiscent of a baby or a cute feeling, but in the United States, it can be reminiscent of a pig's snarl (oink). Furthermore, beyond the linguistic similarity, it is also a problem due to the cultural factors of the time. The famous Korean beer brand Hite 'Hite' is similar in pronunciation to the white 'white', which can make a negative impression on African-Americans who are sensitive to racism. Can be.

Therefore, a word that pronounces 'Oing', 'Yoing', 'Wooing', 'Oim' and 'Yo' may be assigned and stored in the United States as emotional information of 'greedy, messy'. In addition, in the case of a word having a pronounced 'high' family, it may be assigned and stored as emotional information of 'racism' in the United States.

In order to determine the type of emotion in the present invention, emotions of 16 dimensions are typically determined. That is, as shown in FIG. 6, three emotions (Fast, Big, good) of human emotions presented by anthropologist C. Osgood, four emotions among eight attributes of psychology (Anxious, Fearful, Sad, Angry), There can be four human sensibility (Bright, Noisy, soft, Hot) and J.Aaker's five elements of brand personality (Sincerity, Excitement, Competence, Sophistication, Familiarity).

In order to establish the emotional dimension, emotions that are opposed to the emotions of the 16 dimensions are collected at both extremes so that they can see the relative correspondence of emotions. Group by item.

In addition, through the online survey, a survey is conducted on how emotions are felt when respondents pronounce each consonant phoneme, and as shown in FIG. Build 230. Consonant phonemes are defined as consonants in the commonly used Buckeye corpus system. Conduct 200 online surveys per language. The maximum score of 100 points was derived for each phonemic sensitivity, making it easy to understand the results.

On the other hand, the taboo term stored in the taboo database 220 and the form of the word stored in the emotional information database 230 may have any one letter symbol form that can be identified, such as the alphabet spelling form, alphabet pronunciation symbol form of English. Can be.

In addition, this taboo gear database 220 and emotional information database 230, a hard disk drive (Hard Disk Drive), SSD drive (Solid State Drive), Flash memory (Flash Memory), CF card (Compact Flash Card), SD card (Secure Digital Card), SM Card (Smart Media Card), MMC Card (Multi-Media Card) or Memory Stick (Memory Stick) module that can input and output information may be provided inside the device, or a separate device It may be provided in. In addition, the taboo gear database 220 and the emotional information database 230 is updated and updated from time to time, so that the latest information can be utilized in naming analysis.

The naming word determination unit 240 determines the word received from the user as a naming word that is an analysis target word. In determining the naming word, the phonetic symbols having similarities within the set error range are displayed when compared to the phonetic symbols of the input word, and any one phonetic symbol is selected from the phonetic symbols and determined as a naming word. . That is, the input words are composed of phonemes. The phonetic symbols are similar to the phonemes used in the input words, and the phonetic symbols are similarly selected, and the phonetic symbols are selected by the user and determined as naming words. .

For reference, phonemes are the smallest units of sound that distinguish the meaning of words in a phonetic system of a language. For example, the first sounds in Korean 'sal' and 'rice', / ㅅ / and / ㅆ /, and in vowels / ㅗ / and / ㅏ / in 'hand' and 'mountain', distinguish the meaning of the two words. It is a phoneme with an enemy function. For example, Korean speakers use 's' / sal / and 'rice' / s'al / to distinguish / s / and / s '/ as phonemes, so / s / and / s' / are phonemes, respectively. However, English speakers recognize / s' / as a variation of / s /.

The naming words thus determined have a syllable combination. A syllable is a unit of speech that gives a sense of a synthesized sound and is composed of several phonemes. A vowel may be a syllable alone. For example, "a" and "acupuncture" in the "morning" correspond to syllables, and the pronunciation symbol "a: chim" of the "morning" combined with these syllables may be a naming word.

For reference, in determining the naming word, the phonetic symbols having similarities within the set error range are displayed when compared with the phonetic symbols of the input word, and the phonetic symbols are selected by the user from among the phonetic symbols. 4, the phonetic symbol selection window is provided to the user terminal 100. The user selects the most similar pronunciation symbol from the pronunciation symbol selection window displayed on the user terminal 100, and the selected pronunciation symbol is determined as a naming word. For reference, FIG. 4 is a view illustrating a phonetic symbol selection window displayed on a monitor of a desktop rather than a smartphone for convenience of description, and may be displayed even when a user terminal is a smartphone. something to do.

The naming word search unit 250 searches whether the terminology matching the naming word exists through the terminology database 220. Whether there is a contraindication that matches the naming word is determined as a contraindication that matches the naming word when the pronunciation of the naming word and the pronunciation of the contraindication exceed a predetermined first threshold similarity. And a pronunciation similarity determining module (not shown) for determining the pronunciation similarity, when the first threshold similarity is 80%, when the pronunciation of the naming word and the pronunciation of the taboo have a pronunciation similarity of more than 80%. It is determined that there is a matching terminology. For reference, the pronunciation similarity determining module may determine pronunciation similarity by comparing spelling and arrangement order of the pronunciation symbols of the pronunciation symbols. In addition, the pronunciation similarity determination may determine the pronunciation similarity by actually pronunciationing the phonetic symbol and comparing the similarity of the sound wave wavelengths through the acoustic wave analysis. In addition, various known pronunciation similarity determining means may be utilized.

In addition, the naming word search unit 250 searches whether the emotional information matching the naming word exists in addition to the determination of the existence of the taboo word through the national emotion information database 230. Whether the emotional information matching the naming word is present, if the pronunciation of the naming word and the pronunciation of the emotional word exceed a preset second threshold similarity, it is determined that the emotional information matching the naming word exists. For example, the emotional word 'oing' is stored with emotional information assigned to 'greedy, dirty' in the United States, 'oing', 'yoing', which has 80% similarity with 'oing' and second critical similarity. The naming words with the pronunciations of 'wooing', 'chime' and 'yome' can be determined to have emotional information as 'greedy, messy' in the United States.

The present invention may utilize a method of matching the distance between words in seven dimensions when searching through the emotion information database 230 for each country to determine whether there is emotion information matching the naming word. In order to derive a matching rate by calculating the distance between words, all phonemes are combined in syllable units, three-dimensional phoneme numerical information in the initial consonant, three-dimensional phoneme numerical information in the final consonant, and one in the syllable position of the phoneme. Allocate dimension phoneme position numerical information. Based on this, we apply the method to investigate the matching rate between phonemes by calculating 7-dimensional distance.

First, the intensity scale data for each consonant obtained by quantifying the categorical scale is calculated.

As shown in FIG. 8, the consonant is divided into three types: articulation position, degree of consonant sound, voiced or unvoiced.

Articulation position has priority of pure tone (6)> progressive sound (5)> interdental sound (4)> alveolar sound (3)> oral opening sound (2)> research sound (1). The degree of consonant sound has a priority of burst sound (7)> percussion sound (6)> strong friction sound (5)> weak friction sound (4)> sound sound (2)> nasal sound (2)> half consonant (1). Meteor and voiceless have priority of voiced (2)> unvoiced (1).

Then, as shown in FIG. 9, the intensity-scale data for each vowel obtained by quantifying the categorical scale is calculated. It is divided into high vowels and low vowels according to the height of the tongue. For example, it is possible to quantify y (half vowel: 4)-i, u (high vowel: 3)-e, o (mid vowel: 2)-a (low vowel: 1).

According to the position of the highest point of the tongue, it is divided into legend collection and hustle collection. The highest point of the tongue is the legend collection, and the rear tongue is the rear collection. For example, it is possible to quantify y (half vowel: 6) -i (legend vowel: 5)-e (4)-a (3)-o (2)-u (retreat vowel: 1).

The round vowel is a round vowel that pushes out the lips in a cylindrical shape, and the non-round vowel is a round vowel. For example, o, u (round vowels: 2) vs. Numerical values of i, e and a (non-rounded vowels: 1) are possible.

Then, the distance between each syllable is calculated as shown in FIG. The phoneme distance coordinates of syllables composed of consonants and vowels are composed of 7-dimensional numerical data, and the 7-dimensional data information is as follows. The consonant position of the consonant, the consonant level of the consonant, the degree of voice and voicelessness of the consonant, the height of the vowels of the vowel, the position of the highest point of the vowel of the vowel, the form of lip pronunciation of the tongue, and the position of the syllable.

Phoneme coordinates of syllable A are [a ₁ , b ₁ , c ₁ , d ₁ , e ₁ , f ₁ , g ₁ ], and phoneme coordinates of syllable E are [a ₂ , b ₂ , c ₂ , d ₂ , e ₂ , f ₂ , g ₂ ], the distance between two syllables A and E (d) is d = (a ₁ -a ₂ ) ² + (b ₁ -b ₂ ) ² + (c ₁ -c ₂ ) ² + (d ₁ -d ₂ ) ² + (e ₁ -e ₂ ) ² + (f ₁ -f ₂ ) ² + (g ₁ -g ₂ ) ² .

At this time, the square of the distance between the coordinates of the two points is squared and the root (sqrt) value is obtained for the sum of the total values.

After calculating the distance between syllables, the word distance is calculated. The distance of a word is calculated using the average of the minimum distance between the reference word syllable and the comparison word syllable, and the similarity is calculated using the longer word as the reference word in the process of comparing the two words. Based on the distance between syllable formulas, when the word W ₁ is [ABC] (three syllables) and the word W ₂ is [EF] (two syllables), the distance between two words W1 and W2 (wd) is

wd = Average [min (AE, AF) + min (BE, BF) + min (CE, CF)].

At this time, the minimum value of each syllable is selected according to the number of syllables and calculated as an average of the minimum values.

After calculating the word distance, the word matching rate is calculated.

Match rate = 1-(distance wd between two words from 3)

The matching rate is calculated using the distance between syllables as follows.

Matching rate = 1-Average [min (AE, AF) + min (BE, BF) + min (CE, CF)] / 2.5

= 1-Average (1 + 1.3 + 1.5) /2.5

= 1 0.506

= 0.49

The naming word result providing unit 260 displays the search result of the terminology on the display window 130 of the user terminal 100. For example, when a word “high” is input from a user, a search result indicating that it corresponds to a taboo word is displayed on the display window 130 of the user terminal 100 because the term “racism” is used in the United States.

In addition, the naming word result providing unit 260 displays the search result of the emotion information on the display window 130 of the user terminal 100. For example, when a word of 'Oing' is input from the user, a search result indicating that the user has emotional information of 'greedy and dirty' is displayed on the display window 130 of the user terminal 100.

For reference, the server communication unit 210, taboo database 220, emotional information database 230, naming word determination unit 240, naming word search unit 250, and naming word result providing unit 260 above. In order to implement each of the described functions, the naming analysis server 200 has the same configuration as a conventional web server in hardware, and various types of languages such as C, C ++, Jaba, Visual Basic, Visual C, etc. in software. Contains program modules that are implemented through and perform various functions. In addition, it can be implemented by using a web server program that is variously provided according to operating systems such as DOS, Windows, Linux, Unix, Macintosh, etc. in general server hardware. For example, the websites used in the Windows environment, the Internet Information Server (IIS), and the CERN, NCSA, and APPACH used in the Unix environment may be used.

First, a search request word is input from the user terminal 100 (S510). For naming, the user inputs to his user terminal 100 to know whether the word to be naming is taboo in a foreign country or what emotional information is in a foreign country. The user terminal 100 transmits a word input through wired or wireless communication to the naming analysis server 200, and thus the naming analysis server 200 receives a search request word from the user terminal 100.

The naming analysis server 200 has a process of determining a word input from the user as a naming word (S520). Although the phonetic symbols of the input word may be determined as naming words, the phonetic symbols may be selected as a naming word by selecting one of the phonetic symbols similar to the input word from the user. That is, in determining the naming word, the phonetic symbols having similarities within the set error range are displayed when compared to the phonetic symbols of the input word, and any one phonetic symbol is selected from the user as a naming word among the phonetic symbols. Decide That is, the input words are composed of phonemes. The phonetic symbols are similar to the phonemes used in the input words, and the phonetic symbols are similarly selected, and the phonetic symbols are selected by the user and determined as naming words. .

Thereafter, a search process (S530) is performed to search through the taboo database 220 to determine whether there is a taboo word matching the naming word. Whether there is a contraindication that matches the naming word is determined as a contraindication that matches the naming word when the pronunciation of the naming word and the pronunciation of the contraindication exceed a predetermined first threshold similarity. And a pronunciation similarity determining module (not shown) for determining the pronunciation similarity, when the first threshold similarity is 80%, when the pronunciation of the naming word and the pronunciation of the taboo have a pronunciation similarity of more than 80%. It is determined that there is a matching terminology.

The searching process may further include searching for whether there is emotional information matching the naming word (S540). Whether the emotional information matching the naming word is present, if the pronunciation of the naming word and the pronunciation of the emotional word exceed a preset second threshold similarity, it is determined that the emotional information matching the naming word exists. For example, the emotional word 'oing' is stored with emotional information assigned to 'greedy, dirty' in the United States, 'oing', 'yoing', which has 80% similarity with 'oing' and second critical similarity. The naming words with the pronunciations of 'wooing', 'chime' and 'yome' can be determined to have emotional information as 'greedy, messy' in the United States.

After the search, it may have a display process (S550) for displaying the search results of the taboo gear, the search results of the emotional information on the display window 130 of the user terminal 100. For example, when a word “high” is input from a user, a search result indicating that it corresponds to a taboo word is displayed on the display window 130 of the user terminal 100 because the term “racism” is used in the United States. In addition, when a word of 'Oing' is input from the user, a search result indicating that the user has emotional information of 'greedy and dirty' is displayed on the display window 130 of the user terminal 100.

The embodiments in the above description of the present invention are presented by selecting the most preferred examples to help those skilled in the art from the various possible examples, and the technical spirit of the present invention is not necessarily limited or limited only by the embodiments. However, various changes, modifications, and other equivalent embodiments may be made without departing from the technical spirit of the present invention.

Claims

An emotional information database in which emotional information is allocated and stored for each word of a country;

A naming word determination unit that determines a word input from a user as a naming word that is a word to be analyzed;

A naming word retrieval unit for retrieving whether there is emotional information matching a naming word through the emotional information database; And

A naming word result providing unit which displays a search result of emotion information on a display window;

Naming analysis server comprising a.
The method according to claim 1,

The naming analysis server includes a terminology database, wherein the terminology for each country is allocated and stored for each country.

The naming word search unit searches for the terminology matching the naming word through the terminology database,

The naming word result providing unit, naming analysis server for displaying the search results of the terminology on the display window of the user terminal.
The method according to claim 1 or 2, wherein the naming word determination unit,

A naming analysis server for displaying phonetic symbols having similarities within a set error range when compared with phonetic symbols of an input word, and selecting one phonetic symbol from a user as a naming word among the phonetic symbols.
The method of claim 1, wherein the naming word,

Naming analysis server, characterized in that the syllable combination form.
The method according to claim 2, wherein whether there is a contraindication that matches the naming word,

The naming analysis server determines that the pronunciation of the naming word and the pronunciation of the taboo word are contraindicated to match the naming word when the pronunciation of the contraindication exceeds a preset first threshold similarity.
The method according to claim 1, wherein the emotion information database,

The naming analysis server, which stores emotion information for each pronunciation of an emotional word.
The method according to claim 1, wherein whether there is emotional information matching the naming word,

The naming analysis server determines that there is emotional information matching the naming word when the pronunciation of the naming word and the pronunciation of the emotional word exceed a preset second threshold similarity.
Determining a word input from a user as a naming word;

A searching step of searching for presence of emotional information matching the naming word; And

Displaying a search result of emotion information on a display window of a user terminal;

Naming analysis method comprising a.
The method according to claim 8,

The searching process may include searching for whether there is a taboo word matching the naming word.

The display process may include displaying a search result of a terminology on a display window of a user terminal.
The method of claim 8, wherein the determining of the naming word comprises:

A naming analysis method for displaying phonetic symbols having similarities within a set error range when compared to phonetic symbols of an input word, and selecting one phonetic symbol from the phonetic symbols from the user and determining the phonetic symbol as a naming word.