CALENDAR EVENT CREATION USING ELECTRONIC MESSAGE CONVERSATIONS

• US 20120143961A1
• Filed: 12/06/2010
• Published: 06/07/2012
• Est. Priority Date: 12/06/2010
• Status: Abandoned Application

• Current Assignee: Sony Ericsson Mobile Communications AB (Sony Group Corp.)
• Original Assignee: Sony Ericsson Mobile Communications AB (Sony Group Corp.)
• Inventors: Jonsson, Häkan Lars Emanuel
• Application Number:
  US12/960,667
• Publication Number:
  US 20120143961A1
• Time in Patent Office: Days
• US Class Current: 709/206
• CPC Class Codes: G06Q 10/1093 Calendar-based scheduling for persons or groups

Abstract

A device receives multiple electronic messages. The device identifies a conversation from the multiple electronic messages, and extracts one or more items of data related to the occurrence of an event from the identified conversation. The device further presents the one or more items of data to a user of the device or stores the one or more items of data as a calendar event in association with a calendar application.

Claims

1. A method, comprising:

storing a conversation included in multiple electronic messages sent between a first device and a second device;

extracting, at the first device, items of data from the conversation related to a calendar event; and

scheduling the calendar event and storing the items of data in association with a calendar application at the first device.

2. The method of claim 1, wherein the electronic messages comprise Short Message Service (SMS) text messages, Multimedia Messaging Service (MMS) messages, e-mails, or Instant Messages (IMs).

3. The method of claim 1, wherein the items of data include at least one of a name, a date, a time or a place.

4. The method of claim 1, wherein the items of data include a name, a date, a time and a place.

5. The method of claim 1, wherein extracting the items of data from the conversation includes:

using an extraction algorithm to extract the items of data.

6. The method of claim 1, wherein the first device comprises one of a computer, a cellular telephone, a satellite navigation device, a smart phone, a personal digital assistant (PDA), a media player device, or a digital camera.

7. The method of claim 1, further comprising:

identifying the conversation from the multiple electronic messages.

8. The method of claim 7, wherein identifying the conversation from the multiple electronic messages comprises:

identifying ones of the multiple electronic messages that belong to a set of a last number of the multiple electronic messages.

9. The method of claim 7, wherein identifying the conversation from the multiple electronic messages comprises:

identifying ones of the multiple electronic messages that belong to a set of the electronic messages transmitted within a specific period of time.

10. The method of claim 7, wherein identifying the conversation from the multiple electronic messages comprises:

identifying ones of the multiple electronic messages that belong to a set of the multiple electronic messages classified as belonging to a same conversation as classified by a machine learning classifier trained to classify based on human-classification examples.

11. The method of claim 10, wherein the machine learning classifier uses natural language processing.

12. A device, comprising:

a communication interface configured to receive a plurality of electronic messages;

a processing unit configured to;

identify a conversation from the plurality of electronic messages,

extract one or more items of data related to the occurrence of an event from the identified conversation, and

present the one or more items of data to a user of the device or store the one or more items of data as a calendar event in association with a calendar application.

13. The device of claim 12, wherein the one or more items of data comprise one or more names, dates, times or locations.

14. The device of claim 12, wherein the one or more items of data comprise multiple names, multiple dates, multiple times, or multiple locations.

15. The device of claim 14, wherein the processing unit is further configured to:

receive a selection of one of the multiple names, multiple dates, multiple times or multiple locations.

16. The device of claim 12, wherein the device comprises a computer, a cellular telephone, a satellite navigation device, a smart phone, a personal digital assistant (PDA), a media player device, or a digital camera.

17. The device of claim 12, wherein the plurality of electronic messages comprise Short Message Service (SMS) text messages, Multimedia Messaging Service (MMS) messages, e-mails, or Instant Messages (IMs).

18. The device of claim 12, wherein, when identifying a conversation from the plurality of electronic messages, the processing unit is further configured to:

identify ones of the plurality of electronic messages that belong to a set of a last number of the plurality of electronic messages,

identify ones of the plurality of electronic messages that belong to a set of the electronic messages transmitted within a specific period of time, or

identify ones of the plurality of electronic messages that belong to a set of the plurality of electronic messages classified as belonging to a same conversation as classified by a machine learning classifier trained to classify based on human-classification examples.

19. A computer-readable medium containing instructions executable by at least one processing unit, the computer readable medium comprising:

one or more instructions for receiving a plurality of electronic messages, wherein the plurality of electronic messages comprise Short Message Service (SMS) text messages, Multimedia Messaging Service (MMS) messages, e-mails, or Instant Messages (IMs);

one or more instructions for identifying a conversation from the plurality of electronic messages;

one or more instructions for extracting one or more items of data related to the occurrence of an event from the identified conversation, wherein the one or more items of data comprise one or more names, dates, times or locations; and

one or more instructions for presenting the one or more items of data to a user of the device or store the one or more items of data as a calendar event in association with a calendar application.

20. The computer-readable medium of claim 19, wherein the one or more instructions for identifying the conversation from the plurality of electronic messages comprises:

one or more instructions for identifying ones of the plurality of electronic messages that belong to a set of a last number of the plurality of electronic messages,

one or more instructions for identifying ones of the plurality of electronic messages that belong to a set of the electronic messages transmitted within a specific period of time, or

one or more instructions for identifying ones of the plurality of electronic messages that belong to a set of the plurality of electronic messages classified as belonging to a same conversation as classified by a machine learning classifier trained to classify based on human-classification examples.