Event intensity assessment

1. A computer-implemented method comprising:

detecting an event description of an event within textual input received via a data communication network, wherein the event description is detected using a text classification model pretrained to classify textual input according to event type;

generating an event-correlated data structure based on the event, wherein the event-correlated data structure includes an event descriptor corresponding to the event;

determining, using natural language processing, an event sentiment based on the event descriptor;

determining an event impact based on a quantitative temporal-spatial measure corresponding to an event set including the event and other events of a same event type;

determining an event intensity based on the event sentiment and event impact; and

modifying a display generated via a graphical user interface (GUI) in response to the event intensity exceeding a predetermined threshold, wherein the display indicates the event and the event intensity.

2. The method of claim 1 , comprising:

generating event-correlated data structures for a plurality of additional events classified by the text classification model as a same type as the event; and

determining a relative intensity of the event and relative intensities of each of the plurality of additional events.

3. The method of claim 1 , comprising:

conveying an alert to one or more predetermined entities in response to the event intensity exceeding a predetermined threshold.

4. The method of claim 1 , comprising:

conveying an action recommendation to one or more predetermined entities in response to the event intensity exceeding a predetermined threshold.

5. The method of claim 1 , wherein

the determining the event intensity comprises determining a sentiment value and an impact value and calculating a weighted sum of the sentiment value and the impact value.

6. The method of claim 1 , wherein

the modifying comprises generating at least one of a visualization of the event set including the event and other events of the same type, a visualization of intensity values determined for a plurality of events of the same type, an iso-event intensity graph, or an animated graphic.

7. The method of claim 1 , wherein

the modifying comprises generating an explanation of the event intensity determination.

8. A system, comprising:

a processor configured to initiate operations including:

detecting an event description of an event within textual input received via a data communication network, wherein the event description is detected using a text classification model pretrained to classify textual input according to event type;

generating an event-correlated data structure based on the event, wherein the event-correlated data structure includes an event descriptor corresponding to the event;

determining, using natural language processing, an event sentiment based on the event descriptor;

determining an event impact based on a quantitative temporal-spatial measure corresponding to an event set including the event and other events of a same event type;

determining an event intensity based on the event sentiment and event impact; and

modifying a display generated via a graphical user interface (GUI) in response to the event intensity exceeding a predetermined threshold, wherein the display indicates the event and the event intensity.

9. The system of claim 8 , wherein the processor is configured to initiate further operations including:

generating event-correlated data structures for a plurality of additional events classified by the text classification model as a same type as the event; and

determining a relative intensity of the event and relative intensities of each of the plurality of additional events.

10. The system of claim 8 , wherein the processor is configured to initiate further operations including:

conveying an alert to one or more predetermined entities in response to the event intensity exceeding a predetermined threshold.

11. The system of claim 8 , wherein the processor is configured to initiate further operations including:

conveying an action recommendation to one or more predetermined entities in response to the event intensity exceeding a predetermined threshold.

12. The system of claim 8 , wherein

the determining the event intensity comprises determining a sentiment value and an impact value and calculating a weighted sum of the sentiment value and the impact value.

13. The system of claim 8 , wherein

the modifying comprises generating at least one of a visualization of the event set including the event and other events of the same type, a visualization of intensity values determined for a plurality of events of the same type, an iso-event intensity graph, or an animated graphic.

14. A computer program product, the computer program product comprising:

one or more computer-readable storage media and program instructions collectively stored on the one or more computer-readable storage media, the program instructions executable by a processor to cause the processor to initiate operations including:

detecting an event description of an event within textual input received via a data communication network, wherein the event description is detected using a text classification model pretrained to classify textual input according to event type;

generating an event-correlated data structure based on the event, wherein the event-correlated data structure includes an event descriptor corresponding to the event;

determining, using natural language processing, an event sentiment based on the event descriptor;

determining an event impact based on a quantitative temporal-spatial measure corresponding to an event set including the event and other events of a same event type;

determining an event intensity based on the event sentiment and event impact; and

modifying a display generated via a graphical user interface (GUI) in response to the event intensity exceeding a predetermined threshold, wherein the display indicates the event and the event intensity.

15. The computer program product of claim 14 , wherein the program instructions are executable by the processor to cause the processor to initiate operations further including:

generating event-correlated data structures for a plurality of additional events classified by the text classification model as a same type as the event; and

determining a relative intensity of the event and relative intensities of each of the plurality of additional events.

16. The computer program product of claim 14 , wherein the program instructions are executable by the processor to cause the processor to initiate operations further including:

conveying an alert to one or more predetermined entities in response to the event intensity exceeding a predetermined threshold.

17. The computer program product of claim 14 , wherein the program instructions are executable by the processor to cause the processor to initiate operations further including:

conveying an action recommendation to one or more predetermined entities in response to the event intensity exceeding a predetermined threshold.

18. The computer program product of claim 14 , wherein

the determining the event intensity comprises determining a sentiment value and an impact value and calculating a weighted sum of the sentiment value and the impact value.

19. The computer program product of claim 14 , wherein

the modifying comprises generating at least one of a visualization of the event set including the event and other events of the same type, a visualization of intensity values determined for a plurality of events of the same type, an iso-event intensity graph, or an animated graphic.

20. The computer program product of claim 14 , wherein

the modifying comprises generating an explanation of the event intensity determination.