Infographs:
https://infogram.com/survivors-view-1hke60el1rm145r
https://infogram.com/stakeholder-view-1hkv2n893mmn2x3
Description:
IBM Services Used: Visual Recognition for Survivor Identification Speech-to-Text for auto-generation of incidences from radio transmissions Categories identified: 'PERSON': 'People', 'PERSON_DES': 'Person descriptors', 'NORP': 'Nationalities or religious or political groups', 'FAC': 'Building, airports, highways, bridges', 'ORG': 'Companies, agencies, institutions etc.', 'GPE': 'Countries, cities, states', 'LOC': 'Non-GPE locations, mountain ranges, bodies of water', 'PRODUCT': 'Objects, vehicles, foods, etc', 'EVENT': 'Named hurricanes, battles, wars, sports events', 'LANGUAGE': 'Any named language', 'DATE': 'Absolute or relative dates or periods', 'TIME': 'Times smaller than a day', 'Money': 'Monetary value', 'QUANTITY': 'Measurements as of weights or distance'
Example: Sentence: "There's an elderly personal stuck on highway 202 near Town Lake. Last checked in at 4pm."
elderly Person descriptors
highway 202 FAC
LOC Town Lake
4pm TIME