Abstract: Systems of the present disclosure may ingest content from a plurality of data sources with the content including ingested documents referencing entities and events relevant to the ESG signals. The content may be stored in a content database. The System may also identify metadata and a body of text associated with each document to produce a set of preprocessed documents. An entity may be tagged to a first preprocessed document from the set of preprocessed documents, and the document may include a first document identifier. The System may generate an event score related to a first ESG signal including a direction and a magnitude associated with an event identified in the body of text. The event score may be tagged to the document. The system may write to an unstructured data set the document identifier in association with the tagged entity and the tagged event score for delivery.

Abstract: Methods and systems of assessing aggregate sentiment over a plurality of time increments of a time period are provided. A maximum aggregation factor that is associated with a particular time period is assigned. A plurality of time increments over the time period are received. For each time increment, the BISV is subtracted from the ISV to form a BISV/ISV difference value. The BISV/ISV difference value is normalized by dividing by the maximum possible difference, thereby determining a modulator. For each time increment, a value is assigned to a recency of the particular time increment to a most recent incremental sentiment value update event, thereby determining a decay factor. The maximum aggregation factor associated with a particular time period is modulated by multiplying a determined modulator and a determined decay factor associated with each time increment within the evaluated time interval.

Abstract: Systems of the present disclosure may ingest content from a plurality of data sources with the content including ingested documents referencing entities and events relevant to the ESG signals. The content may be stored in a content database. The System may also identify metadata and a body of text associated with each document to produce a set of preprocessed documents. An entity may be tagged to a first preprocessed document from the set of preprocessed documents, and the document may include a first document identifier. The System may generate an event score related to a first ESG signal including a direction and a magnitude associated with an event identified in the body of text. The event score may be tagged to the document. The system may write to an unstructured data set the document identifier in association with the tagged entity and the tagged event score for delivery.

Abstract: Methods and systems of assessing aggregate sentiment over a plurality of time increments of a time period are provided. A maximum aggregation factor that is associated with a particular time period is assigned. A plurality of time increments over the time period are received. For each time increment, the BISV is subtracted from the ISV to form a BISV/ISV difference value. The BISV/ISV difference value is normalized by dividing by the maximum possible difference, thereby determining a modulator. For each time increment, a value is assigned to a recency of the particular time increment to a most recent incremental sentiment value update event, thereby determining a decay factor. The maximum aggregation factor associated with a particular time period is modulated by multiplying a determined modulator and a determined decay factor associated with each time increment within the evaluated time interval.

Abstract: Systems and methods are provided for identifying meta-events. A plurality of event items are received over a given period of time. The plurality of event items are analyzed to determine one or more areas of interests. One or more characteristics of the plurality of events items is measured. The measured number of event items within the particular area of interest within the given time period are compared against a measured number of even items within the particular area of interest within a previous time period. It is determined that a meta-event has occurred when the difference between the measured number of event items within the particular area of interest compared to the measured number of items within the particular area of interest within a previous time period exceeds a threshold measure of event items.

Abstract: Systems and methods are provided for determining and displaying an indicator of crowd-based sentiments for an entity. Observers may provide feedback regarding various categories/metrics for the entity, which may be used to calculate a score representative of the crowd-based sentiment for the entity.