AUTOMATED CREATIVE ASSISTANCE
The claimed subject matter provides a system and/or a method that facilitates generating a suggestion for a creative work. An interface component can receive a portion of a creative work. A muse component can evaluate the portion of the creative work utilizing a machine learning technique, wherein the muse component can identify a portion of suggested content based upon the evaluation. A palette can be populated with the portion of suggested content, wherein the portion of suggested content is a subset of content that is available for incorporation into the creative work.
1 . A system that facilitates generating a suggestion for a creative work, comprising:
an interface component that receives a portion of a creative work;
a muse component that evaluates the portion of the creative work utilizing a machine learning technique, the muse component identifies a portion of suggested content based upon the evaluation; and
a palette that is populated with the portion of suggested content, the portion of suggested content is a subset of content that is available for incorporation into the creative work.
2 . The system of claim 1 , the portion of the creative work is at least one of an artistic expression, a portion of literature, a portion of music, a piece of art, a clothing design, or a photograph.
3 . The system of claim 1 , the palette is automatically and dynamically populated based at least in part upon the portion of the creative work evaluated.
4 . The system of claim 1 , the muse component examines at least a portion of a creative work previously created to identifying the suggested content.
5 . The system of claim 1 , the muse component examines at least one suggestion related to a user opinion on the portion of the creative work, the user skill-level corresponds to a creator of the portion of the creative work.
6 . The system of claim 1 , the muse component is utilized with at least one of an application or a portion of hardware associated with generating a portion of a creative work.
7 . The system of claim 1 , the muse component leverages at least one data store to identify the suggested content, the data store includes at least one of a portion of data related to a user suggestion, a portion of data related to a creative work, or a combination of a portion of data related to a user suggestion and a portion of data related to a creative work.
8 . The system of claim 7 , the data store is at least one of a remote data store, a local data store or a combination of a local data store and a remote data store.
9 . The system of claim 1 , further comprising a cloud that hosts at least one of the muse component, the data store, the interface component, or a combination of the muse component, the data store, and the interface component.
10 . The system of claim 9 , the cloud is at least one resource that is maintained by a party and accessible by an identified user over a network.
11 . The system of claim 1 , further comprising a filter component that employs real time filtering for the evaluation of the portion of the creative work.
12 . The system of claim 11 , the filtering is based at least in part upon at least one user-defined criterion.
13 . The system of claim 11 , the criterion is at least one of a genre of creative work, a type of creative work, a type of content, a mood associated with the creative work, or a search term.
14 . The system of claim 1 , further comprising a manifest component that tracks a portion of metadata related to the portion of the creative work, the portion of metadata relates to a contribution to creating the creative work.
15 . The system of claim 14 , the manifest component tracks metadata associated with at least one of a copyright of an included suggested content, or a license for an included content.
16 . The system of claim 14 , further comprising a review component that implements an automated review for the portion of the creative work based at least in part upon the portion of metadata.
17 . A computer-implemented method that facilitates providing a creative suggestion for a creative work in progress, comprising:
receiving a portion of creative work in progress;
analyzing the portion of creative work;
identifying a creative suggestion for the portion of creative work based upon the analysis; and
dynamically populating a palette with the creative suggestion to allow incorporation into the creative work in progress.
18 . The method of claim 17 , further comprising:
utilizing a machine learning to analyze the portion of creative work; and
incorporating the creative suggestion based upon a personal preference of a creator of the portion of creative work.
19 . The method of claim 17 , further comprising:
employing a filter to the real time analysis of the portion of creative work;
tracking a portion of metadata associated with contributed content of the portion of creative work; and
automatically generate a review for the portion of creative work based at least in part upon the portion of metadata.
20 . A computer-implemented system that facilitates generating a suggestion for a creative work, comprising:
means for receiving a portion of a creative work;
means for evaluating the portion of the creative work utilizing a machine learning technique;
means for identifying a portion of suggested content based upon the evaluation; and
means for populating a palette with the portion of suggested content, the portion of suggested content is a subset of content that is available for incorporation into the creative work.