A Novel Text Clustering Approach Using Deep-Learning Vocabulary Network

Table 1

The comparison of words and word groups.

Words	Word groups
a(vehicle)b(car)c(engine)d(quality)	a(Bo21A01)b(Bo01A06)e(Dd12A01)
e(automobile)f(truck)	a(Bo21A01)c(Bo21A27)
b(car)g(engine)h(power)	a(Bo21A01)b(Bo01A06)d(Dd14B36)
a(vehicle)i(lorry)c(engine)h(power)	a(Bo21A01)b(Bo01A06)c(Bo21A27)d(Dd14B36)
a(vehicle)j(jeep)	a(Bo21A01)c(Bo21A27)
k(ground)l(situation)	f(Cb08A01)l(Da21A07)
m(area)n(store)o(construction)p(environment)	f(Cb08A01)i(Dm04A01)j(Bn01A01)k(Da21D01)
q(shop)r(building)p(environment)	i(Dm04A01)k(Da21D01)j(Bn01A01)
s(location)q(shop)t(condition)	f(Cb08A01)i(Dm04A01)k(Da21D01)
d(quality)n(store)o(construction)p(environment)	e(Dd12A01)i(Dm04A01)j(Bn01A01)k(Da21D01)