Research on Sentiment Tendency and Evolution of Public Opinions in Social Networks of Smart City

Table 1

Explanation of parameters.

D	Number of documents
	Vocabulary size
T	Number of topics
S	Number of sentiment polarity
H	Number of timestamps
M	Number of word pairs
B	Set of word pairs
B	Word pairs,
W	Word
T	Time
Z	Topic
L	Sentiment polarity label
	: polynomial distribution of topics
	matrix, word pairs’ distribution
	matrix, sentiment distribution
	matrix, time distribution
	Dirichlet prior parameters of
	Dirichlet prior parameters of
	Asymmetric Dirichlet prior parameters of
	Dirichlet prior parameters of
	The number of word pairs in document d
	The number of word pairs for topic j in document d
	The number of word pairs for topic j
	The number of word pairs assigned as topic j and sentiment polarity k
	The number of word pair is assigned to the topic j and sentiment polarity k
	The number of word pair is assigned to the topic j and sentiment polarity k when timestamp is h
	The number of word pairs in the current document except for the p position