Python Social Media Analytics

Sentiment analysis in time

Firstly, we'll compute the average sentiment score per month:

df['sentiment'].resample('M').mean() 

The argument of the resample() method indicates time window. We could also use other periods, for example:

• B: Business day
• D: Calendar day
• W: Weekly
• Q: Quarter end
• A: Year end

There are many other possible ways to resample timeseries data. It can be found in the Pandas library documentation: http://pandas.pydata.org/pandas-docs/stable/timeseries.html#offset-aliases.

Then, we use matplotlib to plot the average monthly sentiment as follows:

 import matplotlib.pyplot as plt import matplotlib matplotlib.style.use('ggplot') df['sentiment'].resample('M').mean().plot(title = "Sentiment over Time", lw =2, ylim = (-1,1)) ...