Research Article
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 |
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