Abstract: A topic tracking platform is disclosed that includes a machine-learning model that may be trained to expose topics in a corpus in response to a training table. Because topics are exposed, rather than searched for using existing taxonomies, the sensitivity of a topic tracking platform may be increased, and emerging topic trends may be more quickly flagged. Exposed topics may be automatically labelled, increasing the specificity of the topic tracking platform by overcoming the potential for topic labelling inconsistencies currently experienced in the art. Documents may be scored for each topic using information provided at a token granularity, and the contribution that each token of each document contributes to the topic may be visually represented. In some aspects, mechanisms are provided for reviewing topics of the corpus at varying granularities, including at a topic level, document level or token level granularity.

Abstract: A topic tracking platform is disclosed that includes a machine-learning model that may be trained to expose topics in a corpus in response to a training table. Because topics are exposed, rather than searched for using existing taxonomies, the sensitivity of a topic tracking platform may be increased, and emerging topic trends may be more quickly flagged. Exposed topics may be automatically labelled, increasing the specificity of the topic tracking platform by overcoming the potential for topic labelling inconsistencies currently experienced in the art. Documents may be scored for each topic using information provided at a token granularity, and the contribution that each token of each document contributes to the topic may be visually represented. In some aspects, mechanisms are provided for reviewing topics of the corpus at varying granularities, including at a topic level, document level or token level granularity.

Abstract: A topic tracking platform is disclosed that includes a machine-learning model that may be trained to expose topics in a corpus in response to a training table. Because topics are exposed, rather than searched for using existing taxonomies, the sensitivity of a topic tracking platform may be increased, and emerging topic trends may be more quickly flagged. Exposed topics may be automatically labelled, increasing the specificity of the topic tracking platform by overcoming the potential for topic labelling inconsistencies currently experienced in the art. Documents may be scored for each topic using information provided at a token granularity, and the contribution that each token of each document contributes to the topic may be visually represented. In some aspects, mechanisms are provided for reviewing topics of the corpus at varying granularities, including at a topic level, document level or token level granularity.

Abstract: Embodiments disclosed herein generally relate to a system and method for tracking virtual reality experiences. A computing system receives a plurality of location coordinates of a user during a VR simulation. The computing system uploads the plurality of location coordinates to a database. The computing system prompts a client device that an API linking the client device of the user to functionality of the database is available. The computing system receives a query via the API. The computing system translates the received query to a query compatible with the database. The computing system queries the database using the received query for according to criteria set forth in the received query to retrieve a set of location information. The computing system generates a heat map based on the retrieved location information. The computing system prompts the remote client device that the heat map is available for display.

Abstract: Embodiments disclosed herein generally relate to a system and method for tracking virtual reality experiences. A computing system receives a plurality of location coordinates of a user during a VR simulation. The computing system uploads the plurality of location coordinates to a database. The computing system prompts a client device that an API linking the client device of the user to functionality of the database is available. The computing system receives a query via the API. The computing system translates the received query to a query compatible with the database. The computing system queries the database using the received query for according to criteria set forth in the received query to retrieve a set of location information. The computing system generates a heat map based on the retrieved location information. The computing system prompts the remote client device that the heat map is available for display.

Abstract: In one aspect, the present disclosure relates to a method for improved computer-based visualization of a tree structure comprises: receiving a dataset defining the tree structure, the tree structure comprising a plurality of nodes and a plurality of edges; analyzing the dataset to determine constraint information for the tree structure; generating a first plurality of graphical objects corresponding to the node; positioning the first plurality of graphical objects within a three-dimensional coordinate space based on the constraint information, wherein all child nodes of a given node are arranged within a corresponding two-dimensional matrix; generating a second plurality of graphical objects corresponding to the edges; positioning the second plurality of graphical objects based on the positioning of the first plurality of graphical objects; and outputting a three-dimensional tree diagram of the tree structure comprising the first plurality of graphical objects and the second plurality of graphical objects.

Abstract: In one aspect, the present disclosure relates to a method for improved computer-based visualization of a tree structure comprises: receiving a dataset defining the tree structure, the tree structure comprising a plurality of nodes and a plurality of edges; analyzing the dataset to determine constraint information for the tree structure; generating a first plurality of graphical objects corresponding to the node; positioning the first plurality of graphical objects within a three-dimensional coordinate space based on the constraint information, wherein all child nodes of a given node are arranged within a corresponding two-dimensional matrix; generating a second plurality of graphical objects corresponding to the edges; positioning the second plurality of graphical objects based on the positioning of the first plurality of graphical objects; and outputting a three-dimensional tree diagram of the tree structure comprising the first plurality of graphical objects and the second plurality of graphical objects.