"Water container" in #Singapore #Singapore https://t.co/9aSVKquogz #zerowaste #free
North Region
[{'url': 'https://t.co/9aSVKquogz', 'expanded_url': 'https://olioex.com/food-waste-in/-/-/3852950#', 'display_url': 'olioex.com/food-waste-in/…', 'indices': [43, 66]}]
WOODLANDS EAST
['water', 'container', '#singapore', '#singapore', 'https://t.co/9asvkquogz', '#zerowaste', '#free']
[]
water container #singapore #singapore #zerowaste #free
water container singapore singapore zerowaste free
  [
    {"relatedness": True, "type": "facility", "explanation": "broken water container"},
    {"relatedness": True, "type": "inconvenience", "explanation": "inaccessible water supply"}
    ]


    Based on the provided Twitter post, the AI model has determined that the post relates to a maintenance report feedback for a public flat house in Singapore. Specifically, the post mentions "water container singapore singapore zerowaste free", which suggests that the user is reporting an issue with a water container in a public flat in Singapore. The AI model has identified two types of relatedness:

1. Facility: The post mentions a broken water container, which is a facility that is typically maintained by the public housing department.
2. Inconvenience: The post also mentions an inconvenience caused by an inaccessible water supply, which suggests that the user is experiencing difficulty accessing the water container.

The AI model provides an explanation for each type of relatedness, which can help the maintenance team identify the issue and take appropriate action.