Process extraction apparatus and non-transitory computer readable medium
A process extraction apparatus includes a process extraction apparatus including a message group creator that, based on keywords each extracted from a respective one of multiple messages posted, the respective posting times of the multiple messages, and the respective posters of the multiple of messages, groups the multiple of messages into multiple message groups each including messages with similar characteristics, and an output unit that, based on the respective posting times of the messages included in each of the multiple message groups, outputs a precedence relationship between the multiple message groups.
1. A process extraction apparatus comprising:
a message group creator that, based on keywords each extracted from a respective one of a plurality of messages posted, respective posting times of the plurality of messages, and respective posters of the plurality of messages, groups the plurality of messages into a plurality of message groups each including messages with similar characteristics;
an output unit that, based on respective posting times of the messages included in each of the plurality of message groups, outputs a precedence relationship between the plurality of message groups; and
a calculator that, based on documents each attached to a respective one of the messages included in each of the plurality of message groups, calculates a similarity between the documents,
wherein the output unit outputs the precedence relationship by use of the similarity calculated by the calculator.
2. The process extraction apparatus according to claim 1 ,
wherein the calculator calculates a similarity between keywords each extracted from a respective one of the documents.
3. The process extraction apparatus according to claim 2 , further comprising
a summary creator that, based on the keywords each extracted from a respective one of the documents, the posting times, and the posters, creates summary information for each of the plurality of message groups obtained by grouping,
wherein the output unit outputs the precedence relationship by use of the summary information.
4. The process extraction apparatus according to claim 3 ,
wherein the output unit outputs the precedence relationship, based on users included in the summary information and the keywords included in the summary information.
5. The process extraction apparatus according to claim 4 , further comprising
an input unit that is used to alter a granularity of the plurality of message groups into which to group the plurality of messages,
wherein when grouping the plurality of messages into the plurality of message groups, the message group creator alters, in accordance with the granularity input with the input unit, a number of groups into which to classify the plurality of messages.
6. The process extraction apparatus according to claim 2 , further comprising
an input unit that is used to alter a granularity of the plurality of message groups into which to group the plurality of messages,
wherein when grouping the plurality of messages into the plurality of message groups, the message group creator alters, in accordance with the granularity input with the input unit, a number of groups into which to classify the plurality of messages.
7. The process extraction apparatus according to claim 3 , further comprising
an input unit that is used to alter a granularity of the plurality of message groups into which to group the plurality of messages,
wherein when grouping the plurality of messages into the plurality of message groups, the message group creator alters, in accordance with the granularity input with the input unit, a number of groups into which to classify the plurality of messages.
8. The process extraction apparatus according to claim 1 , further comprising
a summary creator that, based on the keywords each extracted from a respective one of the plurality of messages, the posting times, and the posters, creates summary information for each of the plurality of message groups obtained by grouping,
wherein the output unit outputs the precedence relationship by use of the summary information.
9. The process extraction apparatus according to claim 8 ,
wherein the output unit outputs the precedence relationship, based on users included in the summary information and the keywords included in the summary information.
10. The process extraction apparatus according to claim 9 , further comprising
an input unit that is used to alter a granularity of the plurality of message groups into which to group the plurality of messages,
wherein when grouping the plurality of messages into the plurality of message groups, the message group creator alters, in accordance with the granularity input with the input unit, a number of groups into which to classify the plurality of messages.
11. The process extraction apparatus according to claim 8 , further comprising
an input unit that is used to alter a granularity of the plurality of message groups into which to group the plurality of messages,
wherein when grouping the plurality of messages into the plurality of message groups, the message group creator alters, in accordance with the granularity input with the input unit, a number of groups into which to classify the plurality of messages.
12. The process extraction apparatus according to claim 1 , further comprising
a summary creator that, based on the keywords each extracted from a respective one of the plurality of messages, the posting times, and the posters, creates summary information for each of the plurality of message groups obtained by grouping,
wherein the output unit outputs the precedence relationship by use of the summary information.
13. The process extraction apparatus according to claim 12 ,
wherein the output unit outputs the precedence relationship, based on users included in the summary information and the keywords included in the summary information.
14. The process extraction apparatus according to claim 13 , further comprising
an input unit that is used to alter a granularity of the plurality of message groups into which to group the plurality of messages,
wherein when grouping the plurality of messages into the plurality of message groups, the message group creator alters, in accordance with the granularity input with the input unit, a number of groups into which to classify the plurality of messages.
15. The process extraction apparatus according to claim 12 , further comprising
an input unit that is used to alter a granularity of the plurality of message groups into which to group the plurality of messages,
wherein when grouping the plurality of messages into the plurality of message groups, the message group creator alters, in accordance with the granularity input with the input unit, a number of groups into which to classify the plurality of messages.
16. The process extraction apparatus according to claim 1 , further comprising
an input unit that is used to alter a granularity of the plurality of message groups into which to group the plurality of messages,
wherein when grouping the plurality of messages into the plurality of message groups, the message group creator alters, in accordance with the granularity input with the input unit, a number of groups into which to classify the plurality of messages.
17. The process extraction apparatus according to claim 1 , further comprising
an input unit that is used to alter a granularity of the plurality of message groups into which to group the plurality of messages,
wherein when grouping the plurality of messages into the plurality of message groups, the message group creator alters, in accordance with the granularity input with the input unit, a number of groups into which to classify the plurality of messages.
18. A non-transitory computer readable medium storing a program causing a computer to execute a process, the process comprising:
based on keywords each extracted from a respective one of a plurality of messages posted, respective posting times of the plurality of messages, and respective posters of the plurality of messages, grouping the plurality of messages into a plurality of message groups each including messages with similar characteristics;
based on respective posting times of the messages included in each of the plurality of message groups, outputting a precedence relationship between the plurality of message groups; and
based on documents each attached to a respective one of the messages included in each of the plurality of message groups, calculates a similarity between the documents,
wherein the output unit outputs the precedence relationship by use of the similarity calculated by the calculator.