Abstract: A method of determining controversy voice share is provided. The method comprises identifying keywords related to a controversy topic and identifying information sources relevant to the controversy topic based on occurrences of the keywords within each source. An external voice score is calculated for an organization regarding the controversy topic, wherein the external voice score is calculated based on information sources that are external to the organization. An internal voice score is calculated for the organization regarding the controversy topic, wherein the internal voice score is calculated based on information sources internal to the organization. An overall voice share of the organization is then calculated from the external voice score and internal voice score. The overall voice share of the organization represents a proportion of influence the organization contributes to public commentary on the controversy topic relative to other organizations within a same industry sector.

Abstract: A method, apparatus, system, and computer program product for method for dynamically managing an ontology for classifying data is provided. The ontology is generated from the classifications of a plurality of entities. Models are generated that predict classifications according to the ontology and natural language descriptions of the entities. Unclassified entities are modelled by according to the models to identify at least one classification within the ontology. Responsive to identifying a plurality of probable classifications within the ontology, a new classification is generated based on the plurality of probable classifications, an updated ontology is generated that includes the new classification, and the unclassified entity is classified according to the new classification.

Abstract: A method of determining controversy voice share is provided. The method comprises identifying keywords related to a controversy topic and identifying information sources relevant to the controversy topic based on occurrences of the keywords within each source. An external voice score is calculated for an organization regarding the controversy topic, wherein the external voice score is calculated based on information sources that are external to the organization. An internal voice score is calculated for the organization regarding the controversy topic, wherein the internal voice score is calculated based on information sources internal to the organization. An overall voice share of the organization is then calculated from the external voice score and internal voice score. The overall voice share of the organization represents a proportion of influence the organization contributes to public commentary on the controversy topic relative to other organizations within a same industry sector.

Abstract: A system, a machine-readable storage medium storing instructions, and a computer-implemented method are described herein for a Clustering Engine that determines that respective actions, performed in a first instance of a virtual environment by a first user during a first time range, correspond with a first latent state. The Clustering Engine determines that respective actions, performed in a second instance of the virtual environment by a second user during the first time range, correspond with a second latent state. The Clustering Engine triggers a first virtual environment feature based on a first latent state parameter space for the first user. The Clustering Engine triggers a second virtual environment feature based on a second latent state parameter space for the second user.

Abstract: A system, a machine-readable storage medium storing instructions, and a computer-implemented method are described herein for a Clustering Engine that determines that respective actions, performed in a first instance of a virtual environment by a first user during a first time range, correspond with a first latent state. The Clustering Engine determines that respective actions, performed in a second instance of the virtual environment by a second user during the first time range, correspond with a second latent state. The Clustering Engine triggers a first virtual environment feature based on a first latent state parameter space for the first user. The Clustering Engine triggers a second virtual environment feature based on a second latent state parameter space for the second user.