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I used the Foursquare datasets and filter it down in order to get the final data required for the analysis. After plotting the datasets on a map, we can get an idea of all the neighborhoods which are more attractive than others. Twitter sentiment data collection was particularly interesting. I tried to a text analysis using following words and gave them ratings based on their happiness quotient:

Elated, Ecstatic – 5

Happy, Glad – 4

Satisfied, Content – 3

Sad, Unhappy – 2

Angry, Furious – 1

Some of the drawbacks of this analysis were like inability to understand sarcasm, misspelled words are not accounted for, ‘content’ can have other meaning as well, etc.

Content Rating

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