A continuous electronic data stream of unlabeled data instances is received and fed into both a stream-based selection strategy and a pool-based selection strategy. The stream-based selection strategy is continuously applied to each of the unlabeled data instances to continually select stream-based data instances that are to be annotated. Additionally, the pool-based selection strategy is periodically applied to a pool of data obtained from the unlabeled data instances, to periodically select pool-based data instances that are to be annotated. Each time the pool-based selection strategy is applied, these methods automatically replace the stream-based data instances with the pool-based data instances. Also, these methods provide, on demand, access to allow a user to annotate the stream-based data instances and the pool-based data instances.
Please help me write a proper abstract based on the patent claims. CLAIM: 1. A method comprising: receiving a continuous electronic data stream of unlabeled data instances; automatically feeding said unlabeled data instances into a stream-based selection strategy and a pool-based selection strategy; automatically continuously applying said stream-based selection strategy to each of said unlabeled data instances to continually select stream-based data instances to be annotated; automatically storing said stream-based data instances in an electronic storage element; automatically periodically applying said pool-based selection strategy to a pool of data obtained from said unlabeled data instances to periodically select pool-based data instances to be annotated; each time said pool-based selection strategy is applied, automatically replacing ones of said stream-based data instances in said electronic storage element with said pool-based data instances; providing, on demand, access to said electronic storage element allowing a user to annotate ones of said stream-based data instances and said pool-based data instances currently maintained by said electronic storage element at a time when said user accesses said electronic storage element; receiving annotations relating to said stream-based data instances and said pool-based data instances from said user to produce annotated data instances; and automatically training a previous model with said annotated data instances to produce an updated model. 2. The method according to claim 1, further comprising updating a classification confidence threshold used by said stream-based selection strategy based on classification confidence values produced during said applying said pool-based strategy. 3. The method according to claim 1, said providing, on demand, access to said electronic storage element allowing said user to annotate ones of said stream-based data instances and said pool-based data instances at unpredictable times. 4. The method according to claim 1, said stream-based selection strategy and said pool-based selection strategy having independent selection criteria. 5. The method according to claim 1, said the pool-based selection strategy and said the stream-based selection strategy automatically making decisions as to whether said unlabeled data instances should be annotated by said user. 6. The method according to claim 1, said stream-based selection strategy making a selection decision on every one of said unlabeled data instances, and said pool-based selection strategy evaluating and ranking said unlabeled data instances in said pool of data before making a selection decision. 7. The method according to claim 1, said stream-based selection strategy making lower quality selection relative to said pool-based selection strategy. 8. A method comprising: receiving a continuous electronic data stream of unlabeled data instances; automatically feeding said unlabeled data instances into a stream-based selection strategy and a pool-based selection strategy; automatically continuously applying said stream-based selection strategy to each of said unlabeled data instances to continually select stream-based data instances to be annotated; automatically storing said stream-based data instances in an electronic storage element; automatically periodically applying said pool-based selection strategy to a pool of data obtained from said unlabeled data instances to periodically select pool-based data instances to be annotated; each time said pool-based selection strategy is applied, automatically replacing ones of said stream-based data instances in said electronic storage element with said pool-based data instances; providing, on demand, access to said electronic storage element allowing a user to annotate ones of said stream-based data instances and said pool-based data instances currently maintained by said electronic storage element at a time when said user accesses said electronic storage element; receiving annotations relating to said stream-based data instances and said pool-based data instances from said user to produce annotated data instances; automatically training a previous model with said annotated data instances to produce an updated model; automatically replacing said previous model with said updated model; and automatically labeling said unlabeled data instances using said updated model. 9. The method according to claim 8, further comprising updating a classification confidence threshold used by said stream-based selection strategy based on classification confidence values produced during said applying said pool-based strategy. 10. The method according to claim 8, said providing, on demand, access to said electronic storage element allowing said user to annotate ones of said stream-based data instances and said pool-based data instances at unpredictable times. 11. The method according to claim 8, said stream-based selection strategy and said pool-based selection strategy having independent selection criteria. 12. The method according to claim 8, said the pool-based selection strategy and said the stream-based selection strategy automatically making decisions as to whether said unlabeled data instances should be annotated by said user. 13. The method according to claim 8, said stream-based selection strategy making a selection decision on every one of said unlabeled data instances, and said pool-based selection strategy evaluating and ranking said unlabeled data instances in said pool of data before making a selection decision. 14. The method according to claim 8, said stream-based selection strategy making lower quality selection relative to said pool-based selection strategy. 15. A system comprising: an input receiving a continuous electronic data stream of unlabeled data instances; a first processing element operatively connected to said input, said first processing element automatically and continuously applying a stream-based selection strategy to each of said unlabeled data instances to continually select stream-based data instances to be annotated; an electronic storage element operatively connected to said first processing element, said electronic storage element storing said stream-based data instances; a second processing element operatively connected to said input and said electronic storage element, said second processing element automatically and periodically applying a pool-based selection strategy to a pool of data obtained from said unlabeled data instances to periodically select pool-based data instances to be annotated, said second processing element automatically replaces ones of said stream-based data instances in said electronic storage element with said pool-based data instances; a graphic user interface operatively connected to said electronic storage element, said graphic user interface providing, on demand, access to said electronic storage element allowing a user to annotate ones of said stream-based data instances and said pool-based data instances currently maintained by said electronic storage element at a time when said user accesses said electronic storage element , and said graphic user interface receiving annotations relating to said stream-based data instances and said pool-based data instances from said user to produce annotated data instances; and a third processing element operatively connected to said graphic user interface, said third processing element automatically training a previous model with said annotated data instances to produce an updated model, said third processing element automatically replacing said previous model with said updated model, and said third processing element automatically labeling said unlabeled data instances using said updated model. 16. The system according to claim 15, said third processing element automatically updating a classification confidence threshold used by said stream-based selection strategy based on classification confidence values produced during said applying said pool-based strategy. 17. The system according to claim 15, said graphic user interface providing, on demand, access to said electronic storage element to allow said user to annotate ones of said stream-based data instances and said pool-based data instances at unpredictable times. 18. The system according to claim 15, said stream-based selection strategy and said pool-based selection strategy having independent selection criteria. 19. The system according to claim 15, said the pool-based selection strategy and said the stream-based selection strategy automatically making decisions as to whether said unlabeled data instances should be annotated by said user. 20. The system according to claim 15, said stream-based selection strategy making a selection decision on every one of said unlabeled data instances, and said pool-based selection strategy evaluating and ranking said unlabeled data instances in said pool of data before making a selection decision.