Go Daddy Operating Company, LLC

Qatar Foundation

Locu, Inc.

Adam Marcus

Keir Banks Mierle

Marek Olszewski

Jason Ansel

Sihem Ameri-Yahia

Samuel Ross Madden

A system and method for document classification are presented. An input document is received (e.g., by at least one server communicatively coupled to a network). A plurality of features are identified in the input document. The plurality of features include sequences of text extracted from the input document. A feature vector of the input document is generated based upon the sequences of text, and the feature vector of the input document is compared to each of a plurality of signature vectors to determine a primary type of the input document. The primary type of the input document is stored into a storage system in communication with the at least one server.

Identifying and processing a number of features identified in a document to determine a type of the document

A system and method for data classification are presented. A plurality of training tokens are identified by at least one server communicatively coupled to a network. Each training token includes a token retrieved from a content source and a classification of the token. For each training token in the plurality of training tokens, a plurality of n-gram sequences are identified, a plurality of features for the plurality of n-gram sequences are generated, and first training data is generated using the token retrieved from the content source, the plurality of features, and the classification of the token. A first classifier is trained with the first training data, and the first classifier is stored into a storage system in communication with the at least one server.

Automated data classification

A computer-implemented method, comprises extracting a measure from a content article representing a probability that the article relates to a topic, allocating the article to a group of articles relating to at least one topic on the basis of the measure, using a set of social media objects relating to the article to extract a measure representing a sentiment for the article, and aggregating respective measures for the sentiment of articles in the group to provide an aggregate measure.

Social analytics

Growing community of inventors

Cambridge, MA, United States of America

Adam Marcus