Knowledge sharing based on meeting information

Abstract

Features are disclosed for automatically facilitating knowledge sharing using information collected during meetings. Collected information may include both the content and context of a meeting. The meeting content may comprise text collected by automatic speech recognition or entered manually at a user device. The meeting context may comprise information such as the identities of meeting participants and subject matter from a meeting agenda. The content and context information may be used to identify relevant topics for which knowledge is available, and the available knowledge may be presented to one or more of the meeting participants.

1 . (canceled) 
     
     
         2 . A computer-implemented method comprising:
 under control of a hardware computing device configured with specific computer-executable instructions,
 receiving, from a first computing device, first data directed to a second computing device; 
 receiving, from the second computing device, second data associated with the first data and directed to the first computing device; 
 identifying, from the first data and the second data, a plurality of words; 
 selecting a first keyword included in the plurality of words; 
 identifying, based at least in part on the first keyword, a first topic from a group of topics; 
 causing presentation, on the first computing device and on the second computing device, of a visual representation of at least some of the plurality of words; and 
 causing presentation, on the first computing device and on the second computing device, of a selectable indication of the first topic with, and visually distinct from, the visual representation of at least some of the plurality of words, wherein the selectable indication of the first topic indicates availability of additional data about the first topic. 
   
     
     
         3 . The computer-implemented method of  claim 2 , further comprising:
 receiving, from the first computing device, input data representing a selection of the selectable indication; and   in response to receiving the input data, causing presentation, on at least the first computing device, of the additional data about the first topic.   
     
     
         4 . The computer-implemented method of  claim 2 , wherein at least one of the first data or the second data comprises audio data. 
     
     
         5 . The computer-implemented method of  claim 4 , wherein identifying at least some of the plurality of words comprises:
 performing automatic speech recognition on the audio data to generate a transcript of the audio data; and   selecting the plurality of words from the transcript.   
     
     
         6 . The computer-implemented method of  claim 2 , wherein identifying the first topic further comprises:
 estimating a level of relevance of the first topic; and   determining that the level of relevance satisfies a threshold.   
     
     
         7 . The computer-implemented method of  claim 2 , further comprising:
 accessing context data for the first computing device, wherein identifying the first topic further comprises:
 generating, with the context data, a filtered group of topics from the group of topics; and 
 selecting the first topic from the filtered group of topics. 
   
     
     
         8 . The computer-implemented method of  claim 7 , wherein the context data comprises at least one of a date or time of a meeting, a document, or an email. 
     
     
         9 . A computer-implemented method comprising:
 receiving, from a first computing device, first data directed to a second computing device;   receiving, from the second computing device, second data associated with the first data and directed to the first computing device;   identifying, from the first data and the second data, a plurality of words;   selecting a first keyword included in the plurality of words;   identifying, based at least in part on the first keyword, a first topic from a group of topics;   causing presentation, on at least one of the first computing device or the second computing device, of a visual representation of at least some of the plurality of words; and   causing presentation, on at least one of the first computing device or the second computing device, of a selectable indication of the first topic with, and visually distinct from, the visual representation of at least some of the plurality of words, wherein the selectable indication of the first topic indicates availability of additional data about the first topic.   
     
     
         10 . The computer-implemented method of  claim 9 , further comprising:
 receiving, from the first computing device, input data representing a selection of the selectable indication; and   in response to receiving the input data, causing presentation, on at least the first computing device, of the additional data about the first topic.   
     
     
         11 . The computer-implemented method of  claim 9 , wherein the first data comprises audio data captured by the first computing device, and wherein identifying at least some of the plurality of words comprises:
 performing automatic speech recognition on the audio data to generate one or more words of the plurality of words.   
     
     
         12 . The computer-implemented method of  claim 9 , wherein identifying the first topic further comprises:
 estimating a level of relevance of the first topic; and   determining that the level of relevance satisfies a threshold.   
     
     
         13 . The computer-implemented method  claim 9 , further comprising:
 accessing context data for the first computing device, wherein identifying the first topic further comprises:
 generating, with the context data, a filtered group of topics from the group of topics; and 
 selecting the first topic from the filtered group of topics. 
   
     
     
         14 . The computer-implemented method of  claim 9 , wherein the context data comprises at least one of a date or time of a meeting, a document, or an email associated. 
     
     
         15 . A system comprising:
 at least one electronic data store; and   at least one hardware processor in communication with the at least one electronic data store, the at least one hardware processor configured to execute computer-executable instructions to at least:
 receive, from a first computing device, first data directed to a second computing device; 
 receive, from the second computing device, second data associated with the first data and directed to the first computing device; 
 identify, from the first data and the second data, a plurality of words; 
 select a first keyword included in the plurality of words; 
 identify, based at least in part on the first keyword, a first topic from the group of topics; 
 cause presentation, on at least one of the first computing device and the second computing device, of a visual representation of at least some of the plurality of words; and 
 cause presentation, on at least one of the first computing device and the second computing device, of a selectable indication of the first topic with, and visually distinct from, the visual representation of at least some of the plurality of words, wherein the selectable indication of the first topic indicates availability of additional data about the first topic. 
   
     
     
         16 . The system of  claim 15 , wherein the at least one hardware processor is further configured to at least:
 receive, from the first computing device, input data representing a selection of the selectable indication; and   in response to receiving the input data, cause presentation, on at least the first computing device, of the additional data about the first topic.   
     
     
         17 . The system of  claim 15 , wherein the first data comprises first text data and the second data comprises second text data, and wherein identifying the plurality of words further comprises:
 combining the first text data and the second text data to generate the plurality of words.   
     
     
         18 . The system of  claim 15 , wherein the first data comprises audio data captured by the first computing device, and wherein identifying at least some of the plurality of words comprises:
 performing automatic speech recognition on the audio data to generate one or more words of the plurality of words.   
     
     
         19 . The system of  claim 15 , wherein the first data comprises user text input received from the first computing device. 
     
     
         20 . The system of  claim 15 , wherein the visual representation of at least some of the plurality of words is presented on the first computing device and the second computing device. 
     
     
         21 . The system of  claim 15 , where the selectable indication is presented on the first computing device and the second computing device.