Abstract: A search ranking system may include a context mining module to determine a set of contexts based on profile of information rankable by the system and an access history of users that have accessed at least some of the information. A context detection module may compare an association of a user conducting a search with one or more of the contexts to thereby rank search results based on the comparison.

Abstract: A method and apparatus are provided for processing a graphic in a document so that the graphic may be reused in a different application than the one it was originally used in. For a given document, a graphic may be identified from within the document and extracted from the document. The extracted graphic may be stored in a suitable storage medium, such as a reusable graphic repository. A structural feature associated with the extracted graphic may also be extracted. The extracted graphic may then be classified based on the extracted structural feature. Furthermore, a method and apparatus are provided for generating a reusable graphic from a document.

Abstract: A generative model is used to develop at least one topic model and at least one sentiment model for a body of text. The at least one topic model is displayed such that, in response, a user may provide user input indicating modifications to the at least one topic model. Based on the received user input, the generative model is used to provide at least one updated topic model and at least one updated sentiment model based on the user input. Thereafter, the at least one updated topic model may again be displayed in order to solicit further user input, which further input is then used to once again update the models. The at least one updated topic model and the at least one updated sentiment model may be employed to analyze target text in order to identify topics and associated sentiments therein.

Abstract: A method and apparatus are provided for processing a graphic in a document so that the graphic may be reused in a different application than the one it was originally used in. For a given document, a graphic may be identified from within the document and extracted from the document. The extracted graphic may be stored in a suitable storage medium, such as a reusable graphic repository. A structural feature associated with the extracted graphic may also be extracted. The extracted graphic may then be classified based on the extracted structural feature. Furthermore, a method and apparatus are provided for generating a reusable graphic from a document.

Abstract: A method and apparatus are provided for processing a graphic in a document so that the graphic may be reused in a different application than the one it was originally used in. For a given document, a graphic may be identified from within the document and extracted from the document. The extracted graphic may be stored in a suitable storage medium, such as a reusable graphic repository. A structural feature associated with the extracted graphic may also be extracted. The extracted graphic may then be classified based on the extracted structural feature. Furthermore, a method and apparatus are provided for generating a reusable graphic from a document.

Abstract: A search ranking system may include a context mining module to determine a set of contexts based on profile of information rankable by the system and an access history of users that have accessed at least some of the information. A context detection module may compare an association of a user conducting a search with one or more of the contexts to thereby rank search results based on the comparison.

Abstract: A generative model is used to develop at least one topic model and at least one sentiment model for a body of text. The at least one topic model is displayed such that, in response, a user may provide user input indicating modifications to the at least one topic model. Based on the received user input, the generative model is used to provide at least one updated topic model and at least one updated sentiment model based on the user input. Thereafter, the at least one updated topic model may again be displayed in order to solicit further user input, which further input is then used to once again update the models. The at least one updated topic model and the at least one updated sentiment model may be employed to analyze target text in order to identify topics and associated sentiments therein.

Abstract: A method and apparatus are provided for processing a graphic in a document so that the graphic may be reused in a different application than the one it was originally used in. For a given document, a graphic may be identified from within the document and extracted from the document. The extracted graphic may be stored in a suitable storage medium, such as a reusable graphic repository. A structural feature associated with the extracted graphic may also be extracted. The extracted graphic may then be classified based on the extracted structural feature. Furthermore, a method and apparatus are provided for generating a reusable graphic from a document.