KR20150089168A - the language analisys method and system using the artificial intelligence - Google Patents

Abstract

The present invention relates to a method and a system for analyzing language using artificial intelligence. The method includes: an advance registration step of registering bad language and good language in advance through an advance registration unit (210) of an artificial intelligence unit (200) and giving a score for every appearance of the corresponding language; a step of collecting appearance frequency of the corresponding language; a step of automatically deleting pre-analyzed object data in a fixed unit in order to reduce the amount of data; a step of transmitting this result to a monitor unit (300) for a user and the person interested to directly monitor user′s language use; and a step of having a transmission unit (350) automatically and promptly transmit the content to the person interested.

Description

[0001] The present invention relates to a language analyzing method and system using artificial intelligence,

     The present invention relates to a language analysis method and system utilizing artificial intelligence.

More specifically, the present invention relates to a method and apparatus for registering all input words used by a user using various electronic apparatuses such as a computer or a smart phone, a language recognized as speech recognition and transformed into text, all texts received by the apparatus, The frequency of use is analyzed by statistical processing method in accordance with whether or not bad language such as vowels, slang, slang, slang, lyme, and good language match pre-registered search words such as good words, This is a technology related to a method and system for analyzing a language and using it as an educational method.

     In the past, when the word was used for the purpose of making it impossible to use the empty slang used on the Internet, it was used only to restrict the use of the input method, or to automatically replace it with another language when the language was used, There was no attempt to evaluate language life, to use it for personality education, to prevent suicide, to prevent accidents such as bullying, and to prevent accidents.

 The results of investigation of the prior art relating to the present invention are as follows.

  1) Korean Patent Application No. 10-2002-0012082, "Standard Language Conversion Processing System at the End of Mobile Communication Month " (filed on March 07, 2002)

 Applicant LG ELECTRONICS CO., LTD.

 The present invention is characterized in that texts are converted into texts using voice recognition, voices, slang, and dialects used in mobile communication, and the text is analyzed by a language analyzer to convert the words into standard language converters. Is an invention for the purpose of removing.

 However, the present invention is intended to analyze the occurrence, use frequency, and ratio of the intended vocabulary among all the texts used in letters, e-mails, conversation contents, and karaoke, There is a difference in the purpose of the present invention, and the subject of the language analysis is also comprehensive, while the invention is limited to the contents of the telephone.

  2) Korean patent application, Application No. 1 1020070021268 (2007.03.05), "Writer's tendency analysis solution through written lexical analysis" Applicant Park Ki-dong Registration number / date 1009566460000 (2010.04.29)

  This invention differs from the present invention in that it analyzes the author's tendency through a similar invention or actually a grammatical analysis in that it is a language analysis.

 3) Application number: 1020010057389 (September 17, 2001), 'Web bulletin board beer and slang processing program' Applicant:

This invention is an invention for automatically translating the words and slang into the standard language and a better language for the contents posted on the web bulletin board.

Therefore, it can be seen that there are considerable differences in the object and method purpose.

    As described above, the present invention can be applied to all texts input on electronic devices such as a computer, a mobile phone, and a tablet, and a language used in a call for the purpose of preventing social problems such as character education, suicide, bullying, school assault, Language analysis

 A good language that has a good effect on bad language that has a bad influence on personality, namely, beer, slang, abusive language, suicide, selfishness, self-pessimism, bullying, violence, , Good words, good words, thankful words, leading words and so on. The purpose of this study is to provide a method and system that can more efficiently perform personality education while statistically processing the number of such language use and scoring it so as to make efforts to use a better language.

  In addition, by analyzing the number of occurrences of these terms, it is possible to sort out students who are at risk of suicide, violence, assault, bullying, etc., so that parents, teachers and others can be contacted in advance to prevent this.

   A method and system for language analysis using artificial intelligence

 A preliminary registration unit 210 of the artificial intelligence unit 200 registers in advance a good language for helping to develop a bad language and a correct mind that has a bad influence on the personality and assigns a score to each language occurrence, The pre-registration step of registering the evaluation timings such as good, normal, caution, risk, and emergency situation by summing the scores during the period

 Collecting all the texts input through the input unit 100 and the appearance frequency of the language in which the call contents converted into text through the speech recognition are analyzed as the contents of the incoming and outgoing calls through the call unit 140;

A step of automatically deleting the previously analyzed object data in a predetermined unit for the purpose of reducing the amount of data;

Sending the result to the monitor unit 300 and directly monitoring the person and the person concerned

When the result of the evaluation is automatically sent to the person concerned and the person concerned at the appointed time and the analysis result which predicts an emergency situation such as suicide, assault, violence, bullying, etc., ) Of the mobile station.

  In addition, the language analysis method and system using artificial intelligence

The input unit 100 includes an input unit 100, an artificial intelligence unit 200 and a monitor unit 300. The input unit 100 includes an e-mail unit 110, a data unit 120, a character unit 130, ),

The artificial intelligence unit 200 includes a pre-registration unit 210, a search unit 220, a statistics unit 230, an analysis unit 240, and a deletion unit 240,

The monitor unit 300 includes a statistical processing unit 310, a score conversion unit 320, and a transmission unit 330.

       As described above, the object of the present invention can be achieved by utilizing the artificial intelligence-based language analysis method and system according to the present invention, so that the personality education can be performed more efficiently, and suicide, bullying, school violence, It will be possible to prevent social problems such as

BRIEF DESCRIPTION OF THE DRAWINGS FIG. 1 is a block diagram of a language analysis method and system using artificial intelligence for the practice of the present invention. FIG.
2 is an illustration of an example of a pre-registration unit.

    DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, the present invention will be described in detail with reference to the drawings.

This explanation is an example only, and it is possible to apply any number of them. Even in the case of such an application, if the principle of the present technology is applied, they are all inventions belonging to the present invention.

   In the description of the present invention, the same parts are denoted by the same reference numerals, and repetitive description thereof will be omitted.

First, an overall system for carrying out the present invention will be described with reference to FIG.

 As shown in Figure 1, the overall system for practicing the invention

An input / output unit 100, an artificial intelligence unit 200, a monitor unit 300, and the like.

 The receiving and inputting unit 100 is further divided into an email language unit 110, a chat unit 120, a communication unit 130, a character language unit 140, and a query unit 150.

 The receiving and inputting unit 100 collects all the languages inputted into electronic devices such as a smart phone or a computer as an analysis target. It includes all languages that are received and the dialing language that the user enters directly.

 The email language unit 110 collects all the email languages that are received and transmitted by the electronic device as an analysis target.

  The chatting unit 120 collects chatting through all social applications such as chat chatting, chat chatting, chat chatting, chatting, and chatting through chatting sites by using an analysis target .

 The call language unit 130 collects and collects the call language of all the telephones, such as a mobile phone call, a mobile phone call, a 070 phone call, and an international call landline call, which are received and transmitted through a telephone call.

  The character language unit 140 collects and collects all of the characters, such as sns, mms, and lms, which are transmitted and received by the electronic device, as the target of analysis.

  The search query unit 120 collects all the search terms input for searching purposes from the electronic device as an analysis target.

 The artificial intelligence unit 200 includes a pre-registration unit 210, an analysis unit 220, a statistics unit 230, and a deletion unit 240.

 The artificial intelligence unit 200 analyzes the collected language based on previously registered criteria and extracts the level of language life, degree of suicide risk, degree of exposure to violence or assault, and degree of improvement in language life And to make it easier to identify the future direction of the effectiveness of personality education.

The pre-registration unit 210 refers to a part for registering a criterion or a case word for analyzing a language in advance as shown in FIG. 2 'Pre-registration example illustration.'

In the example fisher 211, examples of good and bad words are collected and registered by an app developer in advance so that additional data can be accumulated.

   The score criterion registration unit 212 registers a score according to the degree of the value of the language, a score to which good words are added, and a score criterion to which a negative score can be assigned a negative score.

  The score criteria unit 222 registers a criterion that divides the risk of suicide, the risk of being exposed to violence or assault into safety, attention, risk, and situation according to the frequency of language use and usage.

  The contact registering unit 213 registers a telephone number to be contacted for solving a problem in the case of a danger of suicide, a situation requiring a guidance, or a risk of being exposed to violence or assault.

The telephone numbers to register here are ranked by primary contact, secondary contact, etc. In order to make contact, contact person should take educational measures or take measures to prevent problems.

 The language registration unit 214 for preventing an incident registers a language that implies suicide, a language that implies violence or assault, gives a dictionary score, and sets a time period that is a criterion for judging a safety situation, a state of attention, a dangerous situation, It is the registration part.

The event condition determination criterion registering unit 215 transmits data to the transmission unit when the criterion is satisfied, so that the situation can be transmitted in order.

Of course, for the convenience of the user, it will be necessary for the developer to enter a lot of data in advance and allow the user to add or modify some of them.

 The analysis unit 220 searches the languages registered in the pre-registration unit with respect to the analysis target language collected from the input unit, and analyzes the presence, frequency, score, and the like.

In addition, if a language life score is given based on a pre-registered standard, an evaluation is made on the language life, and a situation requiring a dangerous situation, an emergency situation, or guidance comes, a monitoring unit 300 To the transmission unit 330 of the mobile communication terminal 300 and sends a transmission request to transmit the data directly to the contact.

The statistics unit 230 may send the statistics in units of daily, weekly, monthly, and quarterly data to the statistical analysis unit 310 of the monitor unit 300 to improve the language life and the degree of effectiveness of the personality education. Allow monitoring from time to time.

The deletion unit 240 automatically deletes old data automatically at predetermined intervals to prevent the data to be stored from becoming large.

  The monitor unit 300 allows the user to monitor his / her language life.

 The statistical analysis unit 310 functions to display the data sent from the transmission unit of the artificial intelligence unit according to the search conditions inputted by the user.

 The score monitor 320 is a part where the user can check the score given based on the analysis data sent from the analyzer 220.

 The transmission unit 330 is a function that transmits data to a designated telephone number when a user makes a separate request, or when a user who is permitted by the user requests data from outside, or when a risk such as suicide, violence or assault is detected do.

 If such a language analyzer is implemented as an app and managed as a database server, the object of the present invention can be achieved.

Fig. 1 Method and system diagram of language analysis using artificial intelligence
100 < / RTI >
110 email section, 120 chat section, 130 call section, 140 character language section 150 query section
200 is the artificial intelligence department
Reference numeral 210 denotes a pre-registration unit, reference numeral 220 denotes an analysis unit, reference numeral 230 denotes a statistical unit,
Reference numeral 300 denotes a monitor
310 a receiving language unit 320 a dialing language unit 330 a score unit 340 a statistical analysis unit 350 a transmitting unit
2 Pre-registration unit 210 Example diagram
211 Foreclosure Register
212 score based registration
213 Contact Registration
Language Register for Room at 214 Events
215 Event criteria judgment criteria register

Claims (2)

A method and system for language analysis using artificial intelligence
A preliminary registration unit 210 of the artificial intelligence unit 200 registers a good language that helps to raise a bad language and a proper mentality that adversely affects the personality in advance, registers a predetermined score for each language occurrence, The pre-registration step of registering the evaluation timings such as good, normal, caution, risk, and emergency situation by summing the scores during the period
Collecting all the texts input through the input unit 100 and the appearance frequency of the language in which the call contents converted into text through the speech recognition are analyzed as the contents of the incoming and outgoing calls through the call unit 140;
A step of automatically deleting the previously analyzed object data in a predetermined unit for the purpose of reducing the amount of data;
Sending the result to the monitor unit 300 and directly monitoring the person and the person concerned
When the result of the evaluation is automatically sent to the person concerned and the person concerned at the appointed time and the analysis result which predicts an emergency situation such as suicide, assault, violence, bullying, etc., ), And a method and system for analyzing a language using artificial intelligence, including all or part of the steps
In claim 1
A method and system for language analysis using artificial intelligence
An input unit 100, an artificial intelligence unit 200, and a monitor unit 300,
The input unit 100 is configured to include at least one of an email unit 110, a data unit 120, a character unit 130, and a call unit 140,
The artificial intelligence unit 200 is configured to include at least one of a pre-registration unit 210, a search unit 220, a statistics unit 230, an analysis unit 240, and a deletion unit 240,
The monitoring unit 300 includes at least one of a statistical processing unit 310, a point conversion unit 320, and a transmission unit 330. The language analysis method and system using artificial intelligence
A method and system for analyzing a language using artificial intelligence including a function of sending an automatic call signal of an emergency call based on the data to the emergency call transmitter 300

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