INFORMATION PROCESSING APPARATUS AND NON-TRANSITORY COMPUTER READABLE MEDIUM
An information processing apparatus includes a memory storing a document file created for cases or a message collection related to the cases and exchanged among multiple users, and a processor configured to extract information on a target case from the document file or the message collection stored on the memory, and predict a conclusion of the target case from the extracted information using artificial intelligence that has learned through machine learning to predict the conclusion of the target case in accordance with information on the document file or the message collection on each case.
1 . An information processing apparatus comprising:
a memory storing a document file created for cases or a message collection related to the cases and exchanged among a plurality users; and
a processor configured to
extract information on a target case from the document file or the message collection stored on the memory, and
predict a conclusion of the target case from the extracted information using artificial intelligence that has learned through machine learning to predict the conclusion of the target case in accordance with information in the document file or the message collection on each case.
2 . The information processing apparatus according to claim 1 , wherein the memory stores the message collection and
wherein the processor is configured to divide the message collection into a series of exchanges of messages and extract the information on the target case for each of the exchanges.
3 . The information processing apparatus according to claim 2 , wherein the processor is configured to use the artificial intelligence by linking at least two pieces of information of “when”, “where”, “who”, “what”, “why”, and “how” as the information to be extracted from the series of the exchanges.
4 . The information processing apparatus according to claim 1 , wherein the processor is configured to
extract a plurality of different types of information in accordance with a plurality of different rules, and
select, using a prediction accuracy responsive to each of the extracted types of information, a type of information to be used by the artificial intelligence.
5 . The information processing apparatus according to claim 2 , wherein the processor is configured to
extract a plurality of different types of information in accordance with a plurality of different rules, and
select, using a prediction accuracy responsive to each of the extracted types of information, a type of information to be used by the artificial intelligence.
6 . The information processing apparatus according to claim 3 , wherein the processor is configured to
extract a plurality of different types of information in accordance with a plurality of different rules, and
select, using a prediction accuracy responsive to each of the extracted types of information, a type of information to be used by the artificial intelligence.
7 . The information processing apparatus according to claim 1 , wherein the processor is configured to
retrieve, from an external information processing apparatus, second information related to the extracted information, and
predict, by associating the extracted information with the second information, the conclusion of the target case using the artificial intelligence.
8 . The information processing apparatus according to claim 2 , wherein the processor is configured to
retrieve, from an external information processing apparatus, second information related to the extracted information, and
predict, by associating the extracted information with the second information, the conclusion of the target case using the artificial intelligence.
9 . The information processing apparatus according to claim 3 , wherein the processor is configured to
retrieve, from an external information processing apparatus, second information related to the extracted information, and
predict, by associating the extracted information with the second information, the conclusion of the target case using the artificial intelligence.
10 . The information processing apparatus according to claim 4 , wherein the processor is configured to
retrieve, from an external information processing apparatus, second information related to the extracted information, and
predict, by associating the extracted information with the second information, the conclusion of the target case using the artificial intelligence.
11 . The information processing apparatus according to claim 5 , wherein the processor is configured to
retrieve, from an external information processing apparatus, second information related to the extracted information, and
predict, by associating the extracted information with the second information, the conclusion of the target case using the artificial intelligence.
12 . The information processing apparatus according to claim 6 , wherein the processor is configured to
retrieve, from an external information processing apparatus, second information related to the extracted information, and
predict, by associating the extracted information with the second information, the conclusion of the target case using the artificial intelligence.
13 . The information processing apparatus according to claim 1 , wherein the processor is configured to
extract a sequential order or time intervals at which the extracted information has been provided to a partner user, and
predict, by associating the extracted information with the sequential order or the time intervals, the conclusion of the target case using the artificial intelligence.
14 . The information processing apparatus according to claim 2 , wherein the processor is configured to
extract a sequential order or time intervals at which the extracted information has been provided to a partner user, and
predict, by associating the extracted information with the sequential order or the time intervals, the conclusion of the target case using the artificial intelligence.
15 . The information processing apparatus according to claim 3 , wherein the processor is configured to
extract a sequential order or time intervals at which the extracted information has been provided to a partner user, and
predict, by associating the extracted information with the sequential order or the time intervals, the conclusion of the target case using the artificial intelligence.
16 . The information processing apparatus according to claim 4 , wherein the processor is configured to
extract a sequential order or time intervals at which the extracted information has been provided to a partner user, and
predict, by associating the extracted information with the sequential order or the time intervals, the conclusion of the target case using the artificial intelligence.
17 . The information processing apparatus according to claim 5 , wherein the processor is configured to
extract a sequential order or time intervals at which the extracted information has been provided to a partner user, and
predict, by associating the extracted information with the sequential order or the time intervals, the conclusion of the target case using the artificial intelligence.
18 . The information processing apparatus according to claim 6 , wherein the processor is configured to
extract a sequential order or time intervals at which the extracted information has been provided to a partner user, and
predict, by associating the extracted information with the sequential order or the time intervals, the conclusion of the target case using the artificial intelligence.
19 . A non-transitory computer readable medium storing a program causing a computer to execute a process for processing information, the process comprising:
storing a document file created for cases or a message collection related to the cases and exchanged among a plurality users on a memory;
extracting information on a target case from the document file or the message collection stored on the memory; and
predicting a conclusion of the target case from the extracted information using artificial intelligence that has learned through machine learning to predict the conclusion of the target case in accordance with information in the document file or the message collection on each case.
20 . An information processing apparatus comprising:
a memory for storing a document file created for cases or a message collection related to the cases and exchanged among a plurality users; and
means for extracting information on a target case from the document file or the message collection stored on the memory, and
means for predicting a conclusion of the target case from the extracted information using artificial intelligence that has learned through machine learning to predict the conclusion of the target case in accordance with information in the document file or the message collection on each case.