I'm at Hougang MRT Station (NE14) - @sbs_transit in Singapore https://t.co/hfFrNLvjNT
<a href="https://www.swarmapp.com" rel="nofollow">Foursquare Swarm</a>
North-East Region
[{'url': 'https://t.co/hfFrNLvjNT', 'expanded_url': 'https://www.swarmapp.com/c/9sClBOzpyIH', 'display_url': 'swarmapp.com/c/9sClBOzpyIH', 'indices': [62, 85]}]
HOUGANG CENTRAL
["i'm", 'hougang', 'mrt', 'station', 'ne14', '@sbs_transit', 'singapore', 'https://t.co/hffrnlvjnt']
[]
station @sbs transit
hougang mrt station ne14 singapore
  [
    {"relatedness": True, "type": "facility", "explanation": "broken escalator or lift"},
    {"relatedness": True, "type": "inconvenience", "explanation": "long wait for train or platform maintenance"},
    {"relatedness": True, "type": "location", "explanation": "block number or street address of public flat"},
    {"relatedness": False, "type": "none", "explanation": "not related to maintenance report or public flat house"}]


    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 the location of the public flat (Hougang MRT station, block number or street address), which suggests that the user is reporting an issue with the facility or location of the public flat. The AI model has categorized the post into three types: facility, inconvenience, and location.