Abstract:
A user is writing an email or other message. A text processing layer prepares the message for analysis and performs some initial analysis and preparation such as a sentence separator, a "tokenizer", a "unique body" identification, and/or possibly other filtering or analysis routines. An analytics layer analyzes the message using a "regular expressions" analysis, a statistical natural language processing analysis, and/or a template matching analysis. If an attachment is indicated, a suggestion to add an attachment is provided to the user. The analysis may begin when the user begins creating the message, indicates that the message should be sent, or at some point in between. The user may provide feedback that the suggestion is accepted or that the suggestion is rejected.
Abstract:
Project-related data may be aggregated from various data sources, given context, and may be stored in a data repository or organizational knowledge base that may be available to and accessed by others. Documents, emails, contact information, calendar data, social networking data, and any other content that is related to a project may be brought together within a single user interface, irrespective of its data type. A user may organize and understand content, discover relevant information, and act on it without regard to where the information resides or how it was created.
Abstract:
A space in which a user may organize data and collaborate with other users is provided. Project data and metadata may be saved into a reusable template and stored in a repository, wherein other users may discover and download the template for use as a resource for a related project type. A template may contain various document types that may expose a breadth of applications and application functionalities that may be utilized for a given task or project. Questions and answers, task templates, and terminology may also be provided. Project templates may allow for collaboration on projects, wherein business and/or social groups may collaborate quickly, easily, and more completely.
Abstract:
An analysis module, when triggered by a synchronization framework when a new data item is added to a project data store, runs a series of analysis feature extractors on the new content. An analysis may be conducted, and features of interest may be extracted from the data item. The analysis utilizes natural language processing, as well as other technologies, to provide an automatic or semi-automatic extraction of information. The extracted features of interest are saved as metadata within the project data store, and are associated with the data item from which it was extracted. The analysis module may be utilized to discover additional information that may be gleaned from content that is already in the project data store.
Abstract:
An analysis module, when triggered by a synchronization framework when a new data item is added to a project data store, runs a series of analysis feature extractors on the new content. An analysis may be conducted, and features of interest may be extracted from the data item. The analysis utilizes natural language processing, as well as other technologies, to provide an automatic or semi-automatic extraction of information. The extracted features of interest are saved as metadata within the project data store, and are associated with the data item from which it was extracted. The analysis module may be utilized to discover additional information that may be gleaned from content that is already in the project data store.
Abstract:
A space in which a user may organize data and collaborate with other users is provided. Project data and metadata may be saved into a reusable template and stored in a repository, wherein other users may discover and download the template for use as a resource for a related project type. A template may contain various document types that may expose a breadth of applications and application functionalities that may be utilized for a given task or project. Questions and answers, task templates, and terminology may also be provided. Project templates may allow for collaboration on projects, wherein business and/or social groups may collaborate quickly, easily, and more completely.
Abstract:
Project-related data may be aggregated from various data sources, given context, and may be stored in a data repository or organizational knowledge base that may be available to and accessed by others. Documents, emails, contact information, calendar data, social networking data, and any other content that is related to a project may be brought together within a single user interface, irrespective of its data type. A user may organize and understand content, discover relevant information, and act on it without regard to where the information resides or how it was created.