KR20170000468A - Server for analyzing naming and method for analyzing the same - Google Patents

Abstract

An embodiment of the present invention can comprise: an emotion information database storing emotion information allocated to every word by country; a naming words decision part deciding a naming word, which is an analysis object, for an input word from a user; a naming words search part searching the emotion information database to find whether emotion information corresponding to a naming word exists; and a naming words results provision part listing the search results for the emotion information on a search results window.

Description

[0001] Naming analysis server and analyzing method [0002]

The present invention relates to a naming analysis server and an analysis method, and more particularly, to a naming analysis server and an analysis method for analyzing a naming operation of a brand or the like.

In recent years, Korea's products and contents have been steadily increasing in exports, and cultural factors such as characters, games, and entertainment have rapidly become global.

Therefore, it is common to produce products with global export in mind from the initial planning stage. Therefore, brand name, product name, and character name are also required to be globally applied beyond Korean.

However, due to differences in language and culture among countries, many misunderstandings occur due to similar pronunciation words, which often play a critical role in spreading products and contents. For example, 'Pororo', the representative character of Korea, is a problem because it is reminiscent of pronunciation 'pornography' in British English.

In addition, the feeling of the pronunciation of the name is different for each language, because each language has its own right and left words. For example, 'Ohing' is similar to the surprise / inquiry of Koreans, which is reminiscent of a child or cute feeling. In the English language, however, the pig's gnashing can be reminiscent of a greedy or dirty feeling similar to the 'oink' sound.

In addition, there is a cultural factor beyond the linguistic similarity, and the famous beer brand 'Hite Hite' in Korea is similar in pronunciation to 'white white', giving a negative impression to African Americans who are sensitive to racial discrimination. .

The naming of products in consideration of the linguistic / cultural characteristics of each of these countries can play an important role not only in reducing unexpected sales but also in preventing national image hindrance and further anti - Han emotion.

However, since it takes a lot of time and money to perform naming verification for many products and characters, not only SMEs but also large companies, qualitative verification using experts is performed only for major products, but there is a growing need for verification of naming.

Korean Patent Publication No. 10-2011-0020649

Disclosure of Invention Technical Problem [8] The present invention provides a naming analysis server and method for providing information on a word to be named in a naming operation of a brand or the like. It also collects systematically the linguistic and cultural characteristics of the exporting country so that companies can perform preliminary verification of naming easily and inexpensively.

Embodiments of the present invention may include an emotion information database stored with emotion information assigned to each word for each country; A naming word determination unit for determining a word input from a user as a naming word that is an analysis target word; A naming word retrieval unit for retrieving through the emotional information database whether emotion information matching with the naming word exists; And a naming word result providing unit for displaying a search result of emotion information on a display window.

Wherein the naming analysis server includes a tabuMed database stored by assigning a country-specific Tabuji to each country, and the naming-word search unit searches through the TabuMenu database whether a tabuio matching the naming word exists, The providing unit can display the search result of the tabu search on the display window of the user terminal.

The naming word determination unit may display phonetic symbols having similarity within an error range set in comparison with a phonetic symbol of an input word and select one phonetic symbol from the user among the phonetic symbols to determine the phonetic symbol as a naming word .

The naming word may be a combination of syllables.

Whether or not a congruent word matching the naming word exists can be determined as a congruence word that matches the naming word if the pronunciation of the naming word and the pronunciation of the congruence term exceed the preset first threshold similarity degree.

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

Whether or not emotion information matching with the naming word is present can be judged as the presence of emotion information matching with the naming word if the pronunciation of the naming word and the pronunciation of the emotion word exceed the preset second threshold similarity .

The embodiment of the present invention further includes a process of determining a word input from a user as a naming word; A searching step of searching whether emotion information matching with the naming word exists; And displaying the search result of the emotion information on a display window of the user terminal.

The searching process may include searching for a tabuest that matches the naming word, and displaying the tabu search result on a display window of the user terminal.

The process of determining by the naming word may include displaying phonetic symbols having similarity within an error range set in comparison with a phonetic symbol of an input word, selecting one phonetic symbol from the user among the phonetic symbols, You can decide.

According to the embodiment of the present invention, it is possible to solve the problem of content competitiveness due to language barriers in an important age of contents. It can be applied to character industry, brand and product name such as education / game / novel / comic, etc., and contributes to establishment of OSMU system which is important for business expansion and globalization market. It also has a preventive effect on the decline of the national image.

FIG. 1 is a diagram illustrating a configuration of a naming analysis system apparatus according to an embodiment of the present invention. FIG.
2 is a block diagram of a configuration of a user terminal according to an embodiment of the present invention;
FIG. 3 is a block diagram illustrating a configuration of a naming analysis server according to an embodiment of the present invention; FIG.
FIG. 4 is a diagram illustrating a pronunciation symbol selection window according to an embodiment of the present invention. FIG.
5 is a flowchart illustrating a naming analysis process of a naming analysis server according to an embodiment of the present invention.

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings, in order to explain the present invention in detail so that those skilled in the art can easily carry out the present invention. . Other objects, features, and operational advantages of the present invention, including its effects and advantages, will become more apparent from the description of the preferred embodiments. It should be noted that the same reference numerals are used to denote the same or similar components in the drawings.

FIG. 1 is a diagram illustrating a configuration of a naming analysis system according to an exemplary embodiment of the present invention, and FIG. 2 is a block diagram of a user terminal according to an exemplary embodiment of the present invention.

By analyzing on the basis of phonemes, it is possible to compare regardless of the specificity of each language such as Korean, English, Chinese, and Japanese, and is suitable for globalization. Overcome constraints of Korean language. In other words, since Korea is the only country that uses Korean, words or phonemes reflecting emotions in Korea such as product launches, brands, and character naming may become a problem in other countries.

In an era where content is important, the problem of content competitiveness due to language barriers can be solved. It can be applied to character industry, brand and product name such as education / game / novel / comic, etc., and contributes to establishment of OSMU system which is important for business expansion and globalization market. It also has a preventive effect on the decline of the national image. Due to the recent popularity of Korean Wave and K-POP, Korean entertainers and singers are increasing their overseas penetration.

The present invention provides a country-by-country analysis when performing naming for building a brand or a product name so that the user can use it for verification.

Therefore, the present invention is based on a comparative analysis of the pronunciation of four languages (Korean, Chinese, Japanese, English), and a conventional phoneme system such as IPA or BUCKEYE is simplified by a more universal pronunciation standard So that it is applied.

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.

The wired / wireless communication network 300 is a communication network that transmits a search request word input 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) So that data communication can be performed. For reference, a mobile radio communication network includes, in addition to a base station (BTS), a mobile switching center (MSC), and a home location register (HLR), an access gateway (Access Gateway) Data Serving Node), and the like. In addition, when the wired / wireless communication network 300 is implemented as a wired communication network, it can be implemented as a network communication network, and data communication can be performed according to an Internet protocol such as TCP / IP (Transmission Control Protocol / Internet Protocol).

The user terminal 100 receives a search request word from a user who performs a naming operation from a user and receives a search request word from the naming analysis server 200, Is displayed. Hereinafter, a smart phone will be described as an example of the user terminal 100 in the description of the present invention. However, the present invention can be applied not only to a smart phone but also to a desktop PC, a tablet PC, a slate PC ), A notebook computer, a digital broadcasting terminal, a PDA (Personal Digital Assistants), a PMP (Portable Multimedia Player), a navigation, a digital camera, and an MP3 layer 3 player . Of course, it is needless to say that the terminal to which the present invention is applicable is not limited to the above-described type, but may include both terminals capable of communicating with external devices.

Here, a smart phone is an intelligent terminal that adds a computer support function such as internet communication and information search to a mobile phone, and can install an application desired by the user. The smart phone combines the advantages of a mobile phone and a personal digital assistant (PDA), integrating data communication functions such as schedule management, fax transmission and reception, and Internet access to mobile phone functions. In addition to being able to connect directly to the Internet using wireless Internet, it can be accessed in various ways using various browsing programs. In addition, unlike existing mobile phones, you can install, add or delete hundreds of various applications (applications) as you want, and you can create your own applications. Can be implemented.

The user terminal 100 implemented as a smart phone may include an RF unit 140, a data processing unit 150, an input unit 120, a display window 130, and a control unit 110 as shown in FIG. have.

The RF unit 140 is a module for communicating with a mobile communication network such as a third generation (3G) or a fourth generation (4G), and includes an RF transmitter (not shown) for up converting and amplifying the frequency of a transmitted signal, And an RF receiver (not shown) for low-noise amplifying and down-converting the frequency.

The data processing unit 150 demodulates and decodes the received signal to extract a data packet or modulates and encodes a data packet to be transmitted and converts the data packet into a signal. For this, the data processing unit 150 may include a modem and a CODEC. Here, a codec can process a data codec or the like that processes data.

The display window 130 is provided on the front surface of the user terminal 100 and is a 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 sensing a touch by touch means such as a touch pen or a finger.

The input unit 120 arranges various keyboards such as a character button, a symbol button, and a special button to perform a function of receiving a search request word at the time of naming from a user. When the display window 130 is implemented as a touch screen panel, a keyboard layout keyboard as an input unit 120 is overlapped with a work screen of the display unit in a graphic form. The touch screen panel may be realized by a touch panel of any one of a resistance 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, And receives analysis results from the analysis server 200 and displays the analysis results on the display window 130. For reference, the control unit 110 may be installed 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.

3, the naming analysis server 200 includes a server communication unit 210, a taboo database 220, an emotion information database 230, a naming word determination unit 240, a naming word searching unit 250, And a naming word result providing unit 260.

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

The taboo database 220 is a database (DB) to which a taboo by country is allocated and stored. For example, in the case of the character 'Pororo', there is a problem of reminiscent of pronunciation in the English language, so 'Pororo' can be a taboo in America. Also, Mitsubishi's "Pajero" car can be considered a taboo in Spain because it means a man masturbating in Spain. In addition, the character of Nexon's game Mabinogi is pronounced as a slang word in the United States, which means it is a taboo in the United States.

It is classified into 6 major categories and 37 sub-categories according to the system, and 1000 data are collected for each country. The collected taboos can have up to 11 pieces of information including country / native language notation / English alphabet notation / GNS phoneme information / matching phoneme information / Korean meaning / English meaning / Gui major category / Gui sub category /

The degree of apparentness was replaced with the data that was easily found through eye tracking. In the case of intensity, the intensity of the strongest response to the classification was reflected through the EEG analysis of the major group of taboos.

The emotion information database 230 is a database (DB) in which sensibility information is allocated and stored for each word of each country. The feeling of the pronunciation of the name differs from one language to another because the language of each language is different. Therefore, the emotion information database 230 may store emotion information for each pronunciation of the emotion word by country. For example, 'Oying' is similar to a surprise / curious response to Koreans, reminiscent of a child or a cute feeling, but in the English language, the pig's gnawing sounds can be reminiscent of a greedy or dirty feeling. In addition, the cultural elements of contemporary culture beyond the linguistic similarity, Hite 'Hite', a famous beer brand in Korea, is similar in pronunciation to white 'white', giving a negative impression to African Americans who are sensitive to racial discrimination. .

Therefore, in the case of the words pronounced 'Oying', 'Ying', 'Uing', 'Oim', and 'Ying', the sentence information of 'greed, dirt' can be allocated and stored in USA. In addition, words in the pronunciation of 'Hait' can 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, emotion of 16 dimensions is typically determined. That is, as shown in FIG. 6, anthropologist C.Osgood presents three emotions (Fast, Big, good) and four emotions (Anxious, Fearful, Sad, Angry) There can be five elements (Sincerity, Excitement, Competence, Sophistication, Familiarity) of the four senses of human sensibility (Bright, Noisy, soft, Hot) and J.Aaker's brand personality.

In order to establish emotional dimension, emotions that are opposed to emotions of 16 dimensions are gathered from both extremes so that they can see relative emotional consensus. In this way, emotional evaluation of 16 dimensions, evaluation of brand value, Group them into items.

As shown in FIG. 7, when the respondent pronounces each consonant phoneme through an online survey, a question is asked about the 16 emotions and the relative emotional score is also checked, (230). The consonant phonemes are consonants in the commonly used Buckeye corpus system. We conduct an online survey of 200 people by language. The maximum score of each phoneme was 100 points, which made it easier to understand intuitively.

On the other hand, the tabuji to be stored in the tabu search database 220 and the form of the words stored in the sensu- al information database 230 may have any one of identifiable character symbols such as an alphabetic letter form of English, .

The tabulation database 220 and the emotion information database 230 may include a hard disk drive, a solid state drive (SSD), a flash memory, a compact flash card, A module capable of inputting and outputting information such as a Secure Digital Card, an SM Card, an MMC Card, a Memory Stick, or the like, As shown in FIG. Also, the taboo database 220 and the emotion information database 230 are updated and updated from time to time so that the latest information can be utilized for naming analysis.

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

For reference, phonemes are the smallest units of sound that distinguish the meaning of a word in a speech system of a language. For example, the discrimination that distinguishes the meanings of the two words, vowel / vowel / vowel / vowel / vowel / vowel / vowel / vowel / vowel / It is a phoneme with the enemy function. For example, the Korean speakers distinguish the meaning of the two words from 'sal' / sal / and 'rice' / s'al / from / s / and / s '/ so that / s / and / s' / are phonemic But English speakers recognize / s' / as a variation of / s /.

The naming words thus determined have a combined form of syllables. A syllable consists of several phonemes as a unit of speech that gives a sense of a synthesized sound, and a vowel can be a single syllable. For example, 'ah' and 'saliva' of 'morning' correspond to syllables, and the pronunciation symbol 'a: chim' of 'morning' combining these syllables can be a naming word.

For reference, in determining the naming word, phonetic symbols having similarity within the error range set in comparison with the phonetic symbol of the input word are displayed, and in selecting one phonetic symbol from the user among the phonetic symbols , And provides a phonetic symbol selection window to the user terminal 100 as shown in FIG. The user selects the most similar pronunciation symbol in the pronunciation symbol selection window displayed on the user terminal 100, and the selected pronunciation symbol is determined as the naming word. For reference, FIG. 4 is a diagram illustrating a display of a pronunciation symbol selection window displayed on a monitor of a desktop rather than a smart phone, for convenience of explanation, and may be displayed in the case of a user terminal of a smart phone. something to do.

The naming word search unit 250 searches the database 220 for the presence of a tabuio that matches the naming word. Whether or not a taboo matching a naming word is present is determined as a taboo which matches the naming word if the pronunciation of the naming word and the pronunciation of the taboo exceed the preset first threshold similarity. (Not shown) for determining a pronunciation similarity degree. When the first threshold similarity degree is 80%, if the pronunciation of the naming word and the pronunciation of the taboo have a pronunciation similarity degree exceeding 80% It is judged that there is a matching taboo. For reference, the pronunciation similarity degree judging module can judge the pronunciation similarity degree by comparing each pronunciation symbol spelling and arrangement order of pronunciation symbols. In addition, the pronunciation similarity degree determination can determine the pronunciation similarity degree by comparing the similarity of the sound wave wavelength with the pronunciation symbol actually being sounded and analyzing the sound wave wavelength. In addition, various known pronunciation similarity degree determining means may be utilized.

Further, the naming word searching unit 250 searches the country-specific emotion information database 230 to determine whether or not emotion information matching with the naming word exists, in addition to the judgment of whether or not the taboo exists. Whether emotion information matching with the naming word exists or not is determined that emotion information matching with the naming word exists when the pronunciation of the naming word and the pronunciation of the emotion word exceed the preset second threshold similarity degree. For example, emotional word 'owing' is assigned and stored in the US as 'greed and dirt', and 'owning' and 'ying', which have similarity of 80% The naming words that are pronounced 'Uing', 'Oim', and 'Essential' can be judged to have sensibility information as 'Greed, Dirty' in the US.

The present invention can utilize a method of seven-dimensionally matching the inter-word distances when searching through the emotion information database 230 for the presence of emotion information matching with a naming word. In order to derive the matching rate by calculating the distance between words, all the phonemes are combined in syllable unit, and the phoneme information of three dimensions is formed on the beginning, the phoneme numerical information of three dimensions is on the ending, Dimensional phoneme position numerical information. Based on this, a method of calculating the 7-dimensional distance and examining the matching rate between phonemes is applied.

First, the data of consonant intensity scale data which is digitized with respect to the categorical scale is calculated.

The classification criteria of consonants are classified into three types as shown in Fig.

The position of articulation has the priority of pure tone (6)> sequential tone (5)> toothed tongue (4)> crown sound (3)> tongue gong (2)> research gong (1). The degree of loudness has the priority of plosive sound (7)> affixation sound (6)> strong fricative sound (5)> weak fricative sound (4)> sound (2)> nasal sound (2)> half consonant (1). The planet and silent have priority of oil (2)> silent (1).

Then, as shown in Fig. 9, the vowel intensity scale data on which the numerical value has been calculated for the categorical scale is calculated. It is divided into high vowels and low vowels depending on the height of the tongue. For example, it is possible to quantify y (semi vowel: 4) - i, u (high vowel: 3) - e, o (medium vowel: 2) - a (low vowel: 1).

According to the position of the tongue peak, it is divided into a legendary vowel and a vowel vowel. The more the tongue's peak is in front, the more it is a legendary vowel. For example, it is possible to quantify y (semi-vowel: 6) -i (legendary vowel: 5) - e (4) - a (3) - o (2) - u.

A circular vowel is a vowel that expands its lips in a cylindrical shape and a non-vowel vowel is a vowel that is rounded. For example, o, u (rarity: 2) vs.. It is possible to quantify i, e, a (non-linear vowel: 1).

Thereafter, the distances between the syllables are calculated as shown in FIG. The phoneme distance coordinates of a syllable consisting of consonants and vowels are composed of 7-dimensional numerical data, and the 7-dimensional data information is as follows. [Position of articulation of consonant, degree of consonant consonant, degree of silence and silence of consonant, degree of tongue height of vowel, position of peak of tongue of vowel, lips pronunciation form of tongue, position of syllable].

The phoneme coordinates of the A syllable are [a ₁ , b ₁ , c ₁ , d ₁ , e ₁ , f ₁ , g ₁ ] and the phoneme coordinates of the E syllable are [a ₂ , b ₂ , c ₂ , d ₂ , e ₂ , f _2, g ₂ when said], two syllables a, E between the distance (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 root (sqrt) value is obtained with respect to the total value obtained by squaring the distance between each coordinate of the two points.

After calculating the distance between syllables, the distance of the word is calculated. The distance between the reference word syllable and the comparative word syllable is calculated using averaging. In comparing the two words, the similarity is calculated using the longer word as the reference word. Based on the distance formula between syllables, words W ₁ is [ABC], and (3 syllables), when that word is W ₂ [EF] (2 syllables), two words W1, W2 between the distance (wd) is

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

In this case, the minimum value of each syllable is selected according to the number of syllables, and then the average of the minimum values is calculated.

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

Matching rate = 1 - (distance between two words calculated in No.3 wd)

The matching rate is calculated by the above example of calculating distance between syllables as follows.

(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 tabu search word on the display window 130 of the user terminal 100. For example, when a word 'Height' is input from a user, a search result corresponding to a taboo is displayed on the display window 130 of the user terminal 100 because the term 'racism' is used in the United States.

Also, 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 'owning' is input from a user, a search result indicating that the user has emotion information of 'greed, dirt' is displayed on the display window 130 of the user terminal 100.

For reference, the server communication unit 210, the taboo database 220, the emotion information database 230, the naming word determining unit 240, the naming word searching unit 250, and the naming word result providing unit 260 In order to implement each of the functions described above, the naming analysis server 200 has the same configuration as a typical web server in terms of hardware, and various types of languages such as C, C ++, Jaba, Visual Basic, And includes a program module that performs various functions. In addition, it can be implemented using a web server program that is variously provided according to operating systems such as dos, window, linux, unix, and macintosh for general server hardware. Typical examples include a Web site used in a Windows environment, Internet Information Server (IIS), and CERN, NCSA, and APPACH used in a UNIX environment.

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

First, the search request word is input from the user terminal 100 (S510). For naming, the user inputs his / her name into his / her user terminal 100 so as to know whether a word to be named is a taboo in a foreign country or has any emotion information in a foreign country. The user terminal 100 transmits a word input through wire communication 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 inputted from a user as a naming word (S520). The pronunciation symbol of the input word can be directly determined as the naming word, but it is possible to select any one pronunciation symbol from the pronunciation symbols similar to the input word to determine the naming word. That is, in determining the naming word, phonetic symbols having similarity within the error range set in comparison with the phonetic symbol of the input word are displayed, and one phonetic symbol is selected from the phonetic symbols by the user, . That is, input words are composed of a combination of phonemes, and phonetic symbols having a similarity to the phonemes used in the input word are displayed, and one of the phonetic symbols is selected from the user and determined as a naming word .

Thereafter, a search process (S530) of searching through the database 220 for the presence of a matching term matching the naming word. Whether or not a taboo matching a naming word is present is determined as a taboo which matches the naming word if the pronunciation of the naming word and the pronunciation of the taboo exceed the preset first threshold similarity. (Not shown) for determining a pronunciation similarity degree. When the first threshold similarity degree is 80%, if the pronunciation of the naming word and the pronunciation of the taboo have a pronunciation similarity degree exceeding 80% It is judged that there is a matching taboo.

The searching process may further include searching for whether emotion information matching the naming word exists (S540). Whether emotion information matching with the naming word exists or not is determined that emotion information matching with the naming word exists when the pronunciation of the naming word and the pronunciation of the emotion word exceed the preset second threshold similarity degree. For example, emotional word 'owing' is assigned and stored in the US as 'greed and dirt', and 'owning' and 'ying', which have similarity of 80% The naming words that are pronounced 'Uing', 'Oim', and 'Essential' can be judged to have sensibility information as 'Greed, Dirty' in the US.

After the search, a search process (S550) of displaying the search result of the taboo and the search result of the emotion information on the display window 130 of the user terminal 100 may be performed. For example, when a word 'Height' is input from a user, a search result corresponding to a taboo 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 'owning' is input from a user, a search result indicating that the user has emotion information of 'greed, dirt' is displayed on the display window 130 of the user terminal 100.

The embodiments of the present invention described above are selected and presented in order to facilitate the understanding of those skilled in the art from a variety of possible examples. The technical idea of the present invention is not necessarily limited to or limited to these embodiments Various changes, modifications, and other equivalent embodiments are possible without departing from the spirit of the present invention.

100: User terminal
200: Naming Analysis Server
210: server communication section
220: The taboo database
230: emotional information database
240: Naming word determination unit
250: Naming word search unit
260: Named word result provisioner

Claims (10)

An emotion information database stored with emotion information allocated to each word of each country;
A naming word determination unit for determining a word input from a user as a naming word that is an analysis target word;
A naming word retrieval unit for retrieving through the emotional information database whether emotion information matching with the naming word exists; And
A naming word result providing unit for displaying a search result of emotion information on a display window;
A naming analysis server.
The method according to claim 1,
Wherein the naming analysis server includes a tabuya database in which tabasimas of each country are allocated and stored for each country,
Wherein the naming word searching unit searches through the tabulation database whether there is a tabuio that matches the naming word,
Wherein the naming word result providing unit displays the search result of the tabu search word on the display window of the user terminal.
The apparatus according to claim 1 or 2, wherein the naming-
A pronunciation symbol having similarity within an error range set in comparison with a pronunciation symbol of an input word is displayed and one of pronunciation symbols is selected from the user among the pronunciation symbols to be determined as a naming word.
The method of claim 1,
Wherein the syllable has a combined form of syllables.
The method of claim 2, further comprising:
When the pronunciation of the naming word and the pronunciation of the taboo exceed the first threshold affinity set in advance, the naming analysis server determines that the tablename is matched with the naming word.
The information processing apparatus according to claim 1,
A naming analysis server in which sensibility information is stored for each pronunciation of emotional words.
The method according to claim 1, further comprising: determining whether emotion information matching the naming word exists,
When the pronunciation of the naming word and the pronunciation of the emotional word exceed the preset second threshold similarity, emotion information matching with the naming word exists.
Determining a word received from a user as a naming word;
A searching step of searching whether emotion information matching with the naming word exists; And
A display process of displaying a search result of emotion information on a display window of the user terminal;
/ RTI >
The method of claim 8,
The retrieving process may include searching for a congruent word matching the naming word,
And displaying the search result of the taboo on a display window of the user terminal.
9. The method of claim 8,
A pronunciation symbol having a similarity within an error range set in comparison with a pronunciation symbol of an input word is displayed and one of the pronunciation symbols is selected from a user among the pronunciation symbols to be determined as a naming word.

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