Abstract: A system and method for event matching by analysis of text characteristics are presented. A document collection comprising documents is acquired. One or more document subsets of the document collection each comprising one or more documents potentially describing identical events are identified based on certain structured metadata fields of the documents. Salient text features are extracted from the documents in the document collection. An event similarity score for pairs of documents in the document collection is generated by comparing the text features extracted from the documents. A common event document list comprising sets of documents in the document collection whose event similarity scores with each other are above a similarity threshold is generated.

Abstract: A system and method for event matching by analysis of text characteristics are presented. A document collection comprising documents is acquired. One or more document subsets of the document collection each comprising one or more documents potentially describing identical events are identified based on certain structured metadata fields of the documents. Salient text features are extracted from the documents in the document collection. An event similarity score for pairs of documents in the document collection is generated by comparing the text features extracted from the documents. A common event document list comprising sets of documents in the document collection whose event similarity scores with each other are above a similarity threshold is generated.

Abstract: A system and method for event matching by analysis of text characteristics are presented. A document collection comprising documents is acquired. One or more document subsets of the document collection each comprising one or more documents potentially describing identical events are identified based on certain structured metadata fields of the documents. Salient text features are extracted from the documents in the document collection. An event similarity score for pairs of documents in the document collection is generated by comparing the text features extracted from the documents. A common event document list comprising sets of documents in the document collection whose event similarity scores with each other are above a similarity threshold is generated.

Abstract: Methods and apparatus to identify components from images of components are disclosed. An example method includes generating first keypoint signatures of an object from at least one image of the object and identifying the object using the first keypoint signatures. Identifying the object comprises: comparing the first keypoint signatures to assembly reference keypoint signatures at a first level in a hierarchical database, the assembly reference keypoint signatures comprising keypoint signatures of multiple views of assemblies containing sets of components; and based on the comparison of the first keypoint signatures to the assembly reference keypoint signatures, comparing the first keypoint signatures to component keypoint signatures at a second level in a hierarchical database lower than the first level, the component reference keypoint signatures comprising keypoint signatures of the components.

Abstract: Methods and apparatus to identify components from images of components are disclosed. An example method includes generating first keypoint signatures of an object from at least one image of the object and identifying the object using the first keypoint signatures. Identifying the object comprises: comparing the first keypoint signatures to assembly reference keypoint signatures at a first level in a hierarchical database, the assembly reference keypoint signatures comprising keypoint signatures of multiple views of assemblies containing sets of components; and based on the comparison of the first keypoint signatures to the assembly reference keypoint signatures, comparing the first keypoint signatures to component keypoint signatures at a second level in a hierarchical database lower than the first level, the component reference keypoint signatures comprising keypoint signatures of the components.

Abstract: Technologies are described herein for providing automated analysis and summarization of free-form comments in survey response data. A number of topic words are identified from the survey response comments, and a numeric weight is calculated for each topic word that reflects the relevance of the topic word to each comment. Each topic word is associated with one or more topics and the comments relevant to each topic is then determined based on the weights of the associated topic words in each comment. A report is generated which summarizes the topics and their relative importance in the survey response comments based upon the number of comments relevant to each.

Abstract: Technologies are described herein for providing automated analysis and summarization of free-form comments in survey response data. A number of topic words are identified from the survey response comments, and a numeric weight is calculated for each topic word that reflects the relevance of the topic word to each comment. Each topic word is associated with one or more topics and the comments relevant to each topic is then determined based on the weights of the associated topic words in each comment. A report is generated which summarizes the topics and their relative importance in the survey response comments based upon the number of comments relevant to each.