Abstract: Disclosed is a system and associated methods for generating interactive interfaces that provide targeted visualizations for different amounts of alignment between a target product, service, or company and varying market dynamics in different regions that affect the favorability or acceptance of the target in the different regions. The system receives a request that is directed to the target and a set of regions. The system selects relevant market conditions based on a sector or industry associated with the target, aggregates data directed to each relevant market condition and each region of the set of regions, and determines an alignment amount between the target and different data that is associated with the relevant market conditions in different regions. The system presents an interactive interface that includes a choropleth map spanning the set of regions with each region color-coded according to the determined alignment amount.

Abstract: Disclosed is a system and associated methods for generating an autonomous bot that replicates speech characteristics, visual expressions, and actions of a professional in order to further relationships established by the professional in meetings that the professional is unavailable for. The system monitors meetings involving the professional at different stages of a workflow, and classifies the workflow stage associated with each meeting. The system models content, speech characteristics, and visual expressions expressed by the professional at each workflow stage based on commonality that is detected in a different set of meetings classified to a corresponding workflow stage. The modeling is used to generate an autonomous bot as a surrogate for the professional in a meeting that the professional is unavailable for.

Abstract: Disclosed is a system and associated methods to optimize search in order to present emerging concepts that relate to a query for an established concept. The system extracts phrases from different content, generates a first cluster with a first set of phrases that contain a first common set of words and a second cluster with a second set of phrases that contain a second common set of words. The system clusters the first cluster and the second cluster to a cluster group based on a related word amongst the first and second set of phrases. The system receives a query for a particular word in the first common set of words, selects the cluster group based on the phrases in the first cluster of the cluster group having the particular word, and presents search results based on content that includes phrases in the second cluster of the cluster group.

Abstract: Disclosed is a system and associated methods to optimize search in order to present emerging concepts that relate to a query for an established concept. The system extracts phrases from different content, generates a first cluster with a first set of phrases that contain a first common set of words and a second cluster with a second set of phrases that contain a second common set of words. The system clusters the first cluster and the second cluster to a cluster group based on a related word amongst the first and second set of phrases. The system receives a query for a particular word in the first common set of words, selects the cluster group based on the phrases in the first cluster of the cluster group having the particular word, and presents search results based on content that includes phrases in the second cluster of the cluster group.

Abstract: A quality assessment system models product or service quality based on contextual relevance. A neural network generates a contextual relevance model that differentiates descriptive characteristics based on a modeled relevance of each descriptive characteristic to the product or service. The system filters reviews based on the contextual relevance model to retain filtered reviews that reference any of the first set of descriptive characteristics. The system generates theme clusters with an encoder. Each theme cluster groups a different subset of the filtered reviews based on an amount of semantic similarity between the different subset of reviews and the theme cluster. The system presents an interface with a first visualization and a second visualization. The first visualization graphically represents a sentiment expressed in reviews grouped to the first theme cluster, and the second visualization graphically represents a sentiment expressed in reviews groups to the second theme cluster.