This thesis describes how to design and build a web app to help its user to analyze the sentiment information from the data files through visualizing results. The beginning is the introduction to the theoretical and practical meanings of the title and a summary for this thesis. And then some related works and background knowledge about data mining, NLP, etc. Then a tutorial for environment preparations and authentications. And then the methodology explains how to design and build the app that includes 4 parts: data collecting, sentiment analysis, visualizing the results, and integration into a web. The Demo chapter presents the integrated web with some examples. Finally, discuss and summarize the characteristics of this system, and the conclusion for this research.