Table 7.

Sentiment classification on Magazine, Sport, MR, Amazon, IMDB, and Yelp datasets.

Magazine
Metric\ model	RND	AFINN	RND + AFINN	JST	TJST	RJST	TS	WJST	WJST1
Accuracy1	0.515	0.6522	0.5822	0.6705	0.705	0.5411	0.5022	0.8355	0.81
Accuracy2	—	—	—	—	—	—	—	0.8372	0.8083
Perplexity	—	—	—	21.8506	23.0349	21.4593	21.3828	19.9914	21.2095
Topic_coherency	—	—	—	−0.0548	−0.0348	−0.0946	−0.0561	−0.132	−0.0077
Sport
Accuracy1	0.5285	0.686	0.5725	0.653	0.709	0.5565	0.5155	0.798	0.802
Accuracy2	—	—	—	—	—	—	—	0.782	0.795
Perplexity	—	—	—	22.874	23.1356	22.0264	22.3361	21.968	21.4821
Topic_coherency	—	—	—	−0.2234	−0.0876	−0.1369	−0.0544	−0.1406	−0.2242
MR
Accuracy1	0.4895	0.601	0.5455	0.613	0.62	0.51	0.5	0.821	0.8445
Accuracy2	—	—	—	—	—	—	—	0.818	0.843
Perplexity	—	—	—	33.8663	35.0695	35.2359	34.6704	33.222	33.7698
Topic_coherency	—	—	—	−0.021	−0.0139	−0.0012	−0.0409	−0.001	−0.0106
Amazon
Accuracy1	0.491	0.731	0.574	0.611	0.645	0.609	0.54	0.779	0.796
Accuracy2	—	—	—	—	—	—	—	0.829	0.798
Perplexity	—	—	—	12.6442	13.7316	13.349	14.2397	10.9211	12.9946
Topic_coherency	—	—	—	−0.8318	−4.3775	−0.4224	−0.5411	−0.5874	−0.2696
IMDB
Accuracy1	0.498	0.698	0.575	0.605	0.616	0.546	0.545	0.76	0.77
Accuracy2	—	—	—	—	—	—	—	0.761	0.774
Perplexity	—	—	—	21.1053	20.4419	20.8543	19.7124	14.6719	18.9035
Topic_coherency	—	—	—	−1.3334	−1.4868	−0.8853	−1.1246	−0.9666	−0.9438
Yelp
Accuracy1	0.506	0.689	0.559	0.579	0.614	0.561	0.547	0.737	0.773
Accuracy2	—	—	—	—	—	—	—	0.726	0.769
Perplexity	—	—	—	15.4565	16.7169	15.5965	15.3614	12.2145	13.3453
Topic_coherency	—	—	—	−2.1865	−2.5609	−1.9632	−1.1714	−2.0815	−2.3715