Table 1.

Comparison of previous studies on topic evolution analysis

References	Research area	Topic detection	Factors of measuring topic intensity	Factors of measuring topic status	Methods of path evolution
Wei et al., 2020	Parliamentary text	Community detection	N	FC	DTS
Jian et al., 2018	Microblog	LDA	Probability distribution of blog-topic	N	DTS; CTS
Liu et al., 2017	Scientific literature	PLDA	ND	FC	DTS; CTS
Miao et al., 2020	Patents	LDA	CWT	N	DTS
Chen et al., 2018	Patents	LDA	ND	N	DTS; CTS; HMM
Gao et al., 2020	Short text	OCCTM	N	N	DTS; CTS
Current study	Web text	LDA	ND; CWT	FC; CWT	Topic drifting probability

PLDA parallel latent dirichlet allocation, ND number of documents, CWT contribution of words to a topic, FC frequency of co-occurrence, DTS division of time slices, CTS calculation of topic similarity

*The letter N represents ‘without the referred research point’