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It is interesting to see that the sentiments of posts from Twitter reveals patterns geographically and correlate to neighborhood boundaries to some extent. And it will be meaningful and more in-depth to discover what could affect the sentiments in certain areas, such as land use, types of retails, income level, etc., which might give us a better understanding of the relationship between emotions and space. 

Right now, I animated the emotion day by day, however, the pattern is not clear and quite weird. If I do the analysis again, I would like to analyze several single days in terms of hour and see what could be the changes of patterns from day to night. 

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