Accenture Global Solutions Limited

Thomas A Hsu

Ian Hook

Marko Krema

Riccardo Mattivi

Xin Zuo

Aonghus McGovern

Rebeca Gomez Vez

Steven Berzins

Bijay Kumar

Jose Eduardo Arias Quiros

Implementations include providing a first set of tags by processing a document using generic entity extraction based on one or more external taxonomies, providing a second set of tags by processing the electronic document using specific entity extraction based on internal taxonomies specific to the enterprise, determining a relevance score for each tag in the first set of tags, and the second set of tags, defining a set of tags including one or more tags of the first set of tags, and one or more tags of the second set of tags, tags of the set of tags being in rank order based on respective relevance scores, receiving user input to the set of tags, and performing one or more of adjusting a ranking of tags based on the user input, and editing at least one internal taxonomy of the one or more internal taxonomies based on the user feedback.

Self-learning and adaptable mechanism for tagging documents

A device may receive a document including text, images, and one or more embedded documents. The device may parse the document to identify a content segment in the document. The device may determine a context for the content segment, wherein the context includes at least one of an entity identified by the content segment, a semantic meaning of the content segment, or an object identified by the content segment. The device may classify the content segment using a content classification model and based on the context for the content segment. The device may selectively alter the content segment based at least in part on a set of alteration rules, to generate a modified document. The device may provide the modified document based on selectively altering the content segment.

Document content classification and alteration

A device may receive information associated with a collection including a set of uniform resource locators (URLs). The information associated with the collection may include a set of titles and a set of images corresponding to the set of URLs, and attribute information associated with the collection. The device may provide, for display to a user and based on the information associated with the collection, a collection user interface that includes the set of titles and the set of images, the attribute information, and one or more input elements associated with editing the information associated with the collection. The device may determine, based on user input via the one or more input elements, updated information associated with the collection, and may provide the updated information associated with the collection to allow the updated information associated with the collection to be provided for display to another user.

Uniform resource locator collections

Growing community of inventors

Bellaire, TX, United States of America

Thomas A Hsu