It has become popular that consumers post their opinions on social media network. Their opinions usually provide valuable information. The way to get useful information is filtered it by specific keywords.
We get text data from social media network and stored them in a SQL server. And we process the data by Text Rank algorithm. All keywords and their weights in that article are generated so that we can train the classification of topics manually. Finally, we can get the classification of topics automatically by machine learning.

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