Summary

In this chapter, you gained knowledge of the various Twitter APIs. We discussed how to create a connection with Twitter, and we saw how to retrieve tweets with various attributes. We saw the power of Twitter in helping us determine customers' attitudes toward today's various businesses. The activity can be done on a weekly basis, and one easily get the monthly, quarterly, or yearly changes in customer sentiment. This can not only help the customer decide the trending business, but also the business itself can get a well-defined metric of its own performance. It can use such scores/graphs to improve. We also discussed various methods of sentiment analysis, varying from basic word-matching the advanced Bayesian algorithms. In the next chapter, we will apply a similar analysis to Facebook.