Algorithm 1. Algorithm of sentiment orientation analysis based on sentiment dictionary
1.	// Calculation of sentiment value
2.	if ${\mathrm{v}}_{\mathrm{i}}$ in sentiment_dict
3.	then ${\mathrm{E}}_{\mathrm{i}}={\mathrm{Av}}_{\mathrm{i}}\times {\mathrm{Bv}}_{\mathrm{i}}$
4.	if ${\mathrm{v}}_{\mathrm{i}}$ in privative_words
5.	then ${\mathrm{E}}_{\mathrm{i}}={\mathrm{Cv}}_{\mathrm{i}}\times {\mathrm{Bv}}_{\mathrm{i}}$
6.	${\mathrm{E}}_{\mathrm{si}}=\sum _{\mathrm{i}=1}^{\mathrm{k}}{\mathrm{E}}_{\mathrm{i}}$ // the sentiment tendency of each sentence scores
7.	$\mathrm{E}=\sum _{\mathrm{i}=1}^{\mathrm{n}}{\mathrm{E}}_{\mathrm{si}}$ // total score of sentiment tendency of single comment text on Weibo
8.	// Analysis of sentiment tendency. The rules of classification are as follows.
9.	if E > 0
10.	then E is positive
11.	else if E = 0
12.	then E is neutral
13.	else E is negative