# US 12,118,315 B2 · Event intensity assessment > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 12,118,315 B2 - Document ID: US12118315B2 - Status: Granted - Kind: B2 - Application number: 17/563,376 - Filed: 2021-12-28 - Published: 2023-06-29 - Granted: 2024-10-15 - Earliest claimed: 2021-12-28 - Assignees: International Business Machines Corporation - Applicants: International Business Machines Corporation - Inventors: Biplav Srivastava; Javid Huseynov; Anushree B. Mehta; Po-Hao Huang - Web page: https://patentgrep.com/patent/US12118315B2 ## CPC - G06F 40/284: Lexical analysis, e.g. tokenisation or collocates - G06F 40/30: Semantic analysis - G06F 3/14: Digital output to display device {; Cooperation and interconnection of the display device with other functional units} - G06F 40/279: Recognition of textual entities - G06F 40/295: Named entity recognition - G06N 3/045: Combinations of networks - G06N 3/08: Learning methods - G06N 5/04: Inference or reasoning models - G08B 21/182: {Level alarms, e.g. alarms responsive to variables exceeding a threshold} - G06F 40/211: Syntactic parsing, e.g. based on context-free grammar [CFG] or unification grammars - G06N 20/00: Machine learning - G06F: ELECTRIC DIGITAL DATA PROCESSING (computer systems based on specific computational models G06N) - G06N: COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS - G08B: SIGNALLING SYSTEMS, e.g. PERSONAL CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS ## Abstract Event intensity assessment can include detecting an event description within textual input received via a data communication network. An event-correlated data structure based on the event can be generated, the event-correlated data structure including an event descriptor corresponding to the event. An event sentiment can be determined based on the event descriptor and an event impact based on a quantitative temporal-spatial measure corresponding to the event. An event intensity can be determined based on the event sentiment and event impact. A GUI can be modified in response to the event intensity exceeding a predetermined threshold. The GUI can be modified to indicate the event and the event intensity. ## Claims ### Claim 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. ### Claim 2 (depends on 1) 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. ### Claim 3 (depends on 1) 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. ### Claim 4 (depends on 1) 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. ### Claim 5 (depends on 1) 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. ### Claim 6 (depends on 1) 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. ### Claim 7 (depends on 1) The method of claim 1, wherein the modifying comprises generating an explanation of the event intensity determination. ### Claim 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. ### Claim 9 (depends on 8) 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. ### Claim 10 (depends on 8) 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. ### Claim 11 (depends on 8) 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. ### Claim 12 (depends on 8) 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. ### Claim 13 (depends on 8) 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. ### Claim 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. ### Claim 15 (depends on 14) 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. ### Claim 16 (depends on 14) 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. ### Claim 17 (depends on 14) 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. ### Claim 18 (depends on 14) 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. ### Claim 19 (depends on 14) 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. ### Claim 20 (depends on 14) The computer program product of claim 14, wherein the modifying comprises generating an explanation of the event intensity determination.