KR20130055628A - Device for managing mobile terminated service - Google Patents

Abstract

PURPOSE: An integrated business text message management device is provided to offer written statistics as a graph by automatically writing statistics for text messages within the same category. CONSTITUTION: A category classification unit(110) classifies messages corresponding to a statement category based on an originating subject of business text messages, keywords, or message types. A data extracting unit(120) extracts category data including a card using place, using amount, and using date from the messages corresponding to the statement category. A display unit(130) displays the statement category classified by the category classification unit. The display unit displays the messages included in the statement category in each originating subject. [Reference numerals] (110) Category classification unit; (120) Data extracting unit; (130) Display unit; (131) Business condition classification unit; (132) Display unit according to business conditions

Description

Integrated text message management device for businesses {DEVICE FOR MANAGING MOBILE TERMINATED SERVICE}

The present invention relates to a corporate text message integrated management device. The present invention relates to a technique for classifying enterprise text messages according to categories and displaying statistics of text messages for the classified categories.

Mobile Terminated service is recently being used as a marketing tool for companies, and is increasingly being used for customer service. The user is receiving various corporate texts of various companies in the terminal, and the received texts are stored as they are not separately classified.

In addition, there is an increasing demand for users to easily grasp each text message as well as to process information of various text messages. However, for classification and statistics of text messages, the user has to classify text messages and calculate statistics using information in the text messages.

Therefore, there is a need for a technique for classifying text messages and automatically preparing statistics to increase user convenience.

The present invention provides an apparatus for automatically classifying and storing a category of a received corporate text message, so that a user can easily use the text message later.

The present invention provides an apparatus for easily checking information on a plurality of text messages by automatically preparing statistics for text messages in the same category and providing the same to a user in the form of a graph.

The present invention analyzes the contents of the received text message, and provides an apparatus for providing convenience to the user by performing additional operations such as executing a separate program, processing additional data, and additional alarms according to the condition determination according to the analyzed result. do.

The integrated enterprise text message management apparatus according to an embodiment of the present invention includes a category classifier that classifies messages corresponding to a transaction history category based on at least one of a sender, a keyword, and a message format of the enterprise text messages by sender, A data extracting unit for extracting item-specific data including a card use place, a use amount, and a use date from messages for each sender corresponding to the transaction history category, and display a transaction history category classified according to the category classification unit; The display unit may display a plurality of messages included in the transaction history category as item-specific data including a card use place, a use amount, and a use date for each sender.

According to one aspect of the present invention, the display unit, the business category classification unit for classifying the business conditions of the card using place by comparing the card using place with the pre-stored data and calculates the usage history for each classified business table And a display for each business state to display at least one of the graphs.

In addition, according to an aspect of the present invention, the display unit may sort and display the item-specific data for a predetermined period of time by displaying at least one of a table and a graph.

According to an embodiment of the present invention, by automatically classifying and storing a category of a received corporate text message, there is provided an apparatus in which a user can easily use a text message later.

According to an embodiment of the present invention, an apparatus for easily checking information on a plurality of text messages is provided by automatically preparing statistics for text messages in the same category and providing the same to a user in the form of a graph.

1 is a block diagram illustrating a corporate text message integrated management device according to an embodiment of the present invention.
2 is a view for explaining an example of providing a plurality of text messages in a form of a graph providing a withdrawal scheduled amount according to an embodiment of the present invention.
3 is a view for explaining an example of providing a plurality of text messages in the form of a graph that provides the fund return according to another embodiment of the present invention.
4 is a diagram for explaining an example of providing a plurality of text messages related to card payment in a graph form according to another embodiment of the present invention.
FIG. 5 is a diagram for describing a process of reading a graph with respect to a text message classified for each sender according to one embodiment of the present invention.
6 is a block diagram illustrating a corporate text message integrated management device according to another embodiment of the present invention.
7 is a flowchart illustrating a method for integrated management of enterprise text messages according to an embodiment of the present invention.
8 is a flowchart illustrating a method for integrating and managing a corporate text message according to another embodiment of the present invention.

Hereinafter, embodiments according to the present invention will be described in detail with reference to the accompanying drawings. However, the present invention is not limited to or limited by the embodiments. Like reference symbols in the drawings denote like elements.

1 is a block diagram illustrating a corporate text message integrated management device according to an embodiment of the present invention.

Referring to FIG. 1, the integrated enterprise text message management apparatus 100 may include a category classifier 110, a data extractor 120, and a display 130.

The category classifier 110 may classify the category of the text message. Here, the classification of the category may include the originator of the text message (ex. Company, individual, etc.), the keyword of the text message (ex. MMS message, etc.). For example, if a text message is categorized by the sender of the text message (eg, classified into A, B, and C companies separately), and the same sender sends a text message with various topics, Messages (eg, A's fund yield text messages, A's payment information text messages, etc. are classified separately) can be classified.

The data extractor 120 may extract item-specific data from a text message in a predetermined category. The item-specific data may include at least one of date data, price data, and ratio data included in a text message. For example, in the case of a text message for card payment, item-specific data such as a payment amount, a payment date, and a withdrawal scheduled date may be extracted from the text message. In addition, in the case of a text message for fund yield, item-specific data such as a fund yield and a yield calculation date may be extracted from the text message. And, in the case of a text message for the bank / securities transaction history, it is possible to extract the item-specific data such as transaction time, trading company, transaction amount, and transaction details from the text message.

Meanwhile, the data extractor 120 may extract the item-specific data by recognizing the pattern of the text message. Since the text messages in the categorized category are transmitted only after changing numerical data in a predetermined pattern, the item-specific data may be extracted by recognizing the pattern of the text message.

In this case, when a predetermined category is a category for a payment due amount, at least one of a card fee, a use date, and a withdrawal due date may be extracted from a text message in the category for the payment due amount.

In addition, when a predetermined category is a category for a fund yield, at least one of a yield, a date, and a fund name may be extracted from a text message in the category for the fund yield.

In addition, when a predetermined category is a category for card usage history, at least one of a card use place, a use amount, and a use date may be extracted from a text message within the category for the card use history.

In addition, when a predetermined category is a category in the bank / stock transaction history, at least one of a transaction time, a trading company, a transaction amount, and a transaction content may be extracted from a text message within the category for the bank / stock transaction history.

The display unit 130 may display statistical data for each item by using the extracted item-specific data. Here, the item-specific statistical data may be displayed using, for example, a table or a graph. In this case, the display unit 130 may sort and display the item-specific data for a predetermined period and display at least one of a table and a graph. That is, the statistics of the item-specific data may be calculated in units of one month, one week, and the like, and displayed in graphs.

In addition, the display unit 130 compares the card use place with previously stored data and calculates the use history by the business state classification unit 131 for classifying the business conditions of the card use place and the classified businesses and the table and graph. It may include a display for each type of status 132 to display at least one of.

For example, if the category of the text message is a category for card usage history, the card usage place extracted from the data extraction unit 120 is compared with the pre-stored data to extract the business state of the card use place, and the usage history for each business state is extracted. It can be calculated and displayed in the form of a graph or the like.

As described above, statistics are automatically generated for text messages in the same category and provided to the user in the form of a graph, so that the user can easily check the information on the plurality of text messages.

In addition, according to an embodiment of the present invention, the content of the received message may be analyzed to perform additional operations according to the processed result. For example, the processed result may be used to execute a separate program, additionally process the processed result, or perform an additional alarm according to a condition determination.

For example, when the text message content received from the mobile communication company is a message for guiding the number movement, the enterprise text message integrated management device may extract the number before the number movement and the number after the number movement from the text message. Then, the integrated enterprise text message management apparatus may update the address book by automatically replacing the number before the number movement with the number after the number movement. In this case, the user does not need to additionally input the number after moving the number, so that the user can conveniently utilize the address book.

2 is a view for explaining an example of providing a plurality of text messages in a form of a graph providing a withdrawal scheduled amount according to an embodiment of the present invention.

Referring to FIG. 2, a process of displaying statistical data for a withdrawal scheduled amount category among a plurality of classified text messages is illustrated.

Within the category, there may be a plurality of text messages 211, 212, 213, and 214 that transmit withdrawal schedule information. In this case, data such as a card fee, a use date, a withdrawal scheduled date, and the like may be extracted from each of the plurality of text messages 211, 212, 213, and 214, and the statistics of the extracted data may be calculated to the graph 220. I can display it. Therefore, when the user wants to view the statistical graph for the withdrawal amount of money category, the user can easily view the selected menu at any time.

3 is a view for explaining an example of providing a plurality of text messages in the form of a graph that provides the fund return according to another embodiment of the present invention.

Referring to FIG. 3, a process of displaying statistical data for a fund yield category among a plurality of classified text messages is illustrated.

As in the case of Figure 2, there may be a plurality of text messages (311, 312, 313, 314) that delivers the fund returns within the category. In this case, data such as a yield, a date, and a fund name may be extracted from each of the plurality of text messages 311, 312, 313, and 314, and the fund yield trend graph 320 may be calculated by calculating statistics of the extracted data. Can be displayed as In this case, when the user wants to view a statistical graph of the fund yield category, the user can easily view the selected menu at any time.

4 is a diagram for explaining an example of providing a plurality of text messages related to card payment in a graph form according to another embodiment of the present invention.

Referring to FIG. 4, a process of displaying statistical data on a card payment history category among a plurality of classified text messages is illustrated.

As in the case of FIGS. 2 and 3, a plurality of text messages 411, 412, 413, and 414 that transmit card payment details may exist in a category. In this case, data such as card use place, amount of use, and date of use can be extracted from each of the plurality of text messages 411, 412, 413, 414, and the card usage history graph is calculated by calculating the statistics of the extracted data. 420. At this time, the card usage history graph 420 may display the usage history by business status. To this end, a card usage place extracted from each of a plurality of text messages 411, 412, 413, and 414 is compared with predetermined data to extract which business state the card use place belongs to, and statistics on usage history of each business type are collected. Can be calculated. Therefore, the graph can be generated and displayed based on the calculated statistics.

In the present invention, a field related to generating statistical data by extracting data may be extended to various fields as well as card use history and bank / securities history.

FIG. 5 is a diagram for describing a process of reading a graph with respect to a text message classified for each sender according to one embodiment of the present invention.

Referring to FIG. 5, a user may first select a predetermined category 510 among text message categories classified into a plurality of categories in order to view statistical information about a predetermined category.

When the text messages in the predetermined category are displayed on the screen, a command for viewing the statistical information may be input by selecting the menu 520 for viewing the statistical information.

According to a user's command for viewing statistical information, a graph 530 for a predetermined category may be displayed on the screen.

6 is a block diagram illustrating a corporate text message integrated management device according to another embodiment of the present invention.

Referring to FIG. 6, the integrated enterprise text message management apparatus 600 may include a data extractor 610 and a message storage unit 620.

The data extractor 610 may extract at least one of a subject and a type of the text message. That is, it is possible to extract who the sender of the text message is from, such as a specific group or an individual, and what kind of text such as a fund yield text message, a card payment history text message, or a mobile coupon message can be extracted. have.

The message storage unit 620 may automatically classify and store the text message based on at least one of the originator and type. For example, a text message may be automatically classified by the sender, a text message may be automatically classified by the type of the text message, and a text message may be classified by considering the sender and the type at the same time.

Here, when the type of text message is a mobile coupon, the message storage unit 620 may include a period extractor 621 for extracting an available period of the mobile coupon and a period for classifying and storing the text message according to the available period. The storage unit 622 may be included. That is, in the case of the mobile coupon text message, by classifying and storing the text message for each valid use period of the mobile coupon, the user can easily determine the valid period of the mobile coupon.

7 is a flowchart illustrating a method for integrated management of enterprise text messages according to an embodiment of the present invention.

Referring to FIG. 7, in step 710, categories of text messages may be classified. In this case, the category may be classified based on at least one of a subject, a keyword, and a message format of the text message.

In operation 720, item-specific data may be extracted from a text message within a predetermined category. In this case, the item-specific data may include at least one of date data, price data, and ratio data included in the text message. In addition, the extraction of data for each item may be performed by recognizing a pattern of a text message. In this case, when a predetermined category is a category for card usage history, at least one of a card use place, a use amount, and a use date may be extracted from a text message in the category for the card use history. In addition, when a predetermined category is a category in the bank / stock transaction history, at least one of a transaction time, a trading company, a transaction amount, and a transaction content may be extracted from a text message in the category for the bank / stock transaction history.

In operation 730, statistical data for each item may be displayed using the extracted item-specific data. In this case, when the predetermined category is a category for card usage history, the extracted card use place is classified with pre-stored data to classify the use state of the card use place, and the usage history is calculated for each classified use form. And at least one of a graph. In addition, the statistical data may be displayed in a sorted period unit.

8 is a flowchart illustrating a method for integrating and managing a corporate text message according to another embodiment of the present invention.

Referring to FIG. 8, in operation 810, at least one of a subject and a type of a text message may be extracted.

In operation 820, the text message may be automatically classified and stored based on at least one of a sender and a type. In this case, when the type of text message is a mobile coupon, the available period of the mobile coupon may be extracted, and the text message may be classified and stored according to the available period.

Meanwhile, for the parts not described in FIGS. 7 to 8, the description of FIGS. 1 to 6 may be referred to.

As described above, by automatically classifying and storing the category of the received corporate text message, the user can easily use the text message later.

In addition, by automatically generating statistics for text messages in the same category and providing them to the user in the form of a graph, information about a plurality of text messages can be easily checked.

Embodiments according to the present invention can be implemented in the form of program instructions that can be executed through various computer means, PDA, feature phone, smart phone, etc. can be recorded on a computer readable medium. The computer readable medium may include program instructions, data files, data structures, etc. alone or in combination. The program instructions recorded on the medium may be those specially designed and constructed for the present invention or may be available to those skilled in the art of computer software. Examples of computer-readable recording media include magnetic media such as hard disks, floppy disks, and magnetic tape, optical media such as CD-ROMs, DVDs, and magnetic disks, such as floppy disks. Magneto-optical media, and hardware devices specifically configured to store and execute program instructions, such as ROM, RAM, flash memory, and the like. Examples of program instructions include not only machine code generated by a compiler, but also high-level language code that can be executed by a computer using an interpreter or the like. The hardware device described above may be configured to operate as one or more software modules to perform the operations of the present invention, and vice versa.

As described above, the present invention has been described by way of limited embodiments and drawings, but the present invention is not limited to the above embodiments, and those skilled in the art to which the present invention pertains various modifications and variations from such descriptions. This is possible.

Therefore, the scope of the present invention should not be limited to the described embodiments, but should be determined not only by the claims below but also by the equivalents of the claims.

110: category classification
120: data extraction unit
130:
131: industry status book
132: display by business status

Claims (3)

A category classification unit that classifies messages corresponding to a transaction history category based on at least one of a sender, a keyword, and a message format of the enterprise text messages for each sender;
A data extracting unit for extracting item-specific data including a card use place, a use amount, and a use date from messages for each sender corresponding to the transaction history category; And
A display unit for displaying the transaction history categories classified according to the category classification unit, and displays a plurality of messages included in the transaction history category by item data including the place of use of the card, the amount of use, and the date of use for each sender.
Including, enterprise text message integrated management device. The method of claim 1,
The display unit includes:
A business status classification unit for classifying business conditions of the card usage location by comparing the card use location with previously stored data; And
The display unit for each type of business to calculate a usage history for each classified business type and display the at least one of a table and a graph
Characterized in that the enterprise, the integrated text message management device. The method of claim 1,
The display unit includes:
And sorting the item-specific data for a preset period of time and displaying at least one of a table and a graph.

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