An analytical study of information extraction from unstructured and multidimensional big data

Journal of Big Data

Table 14 Independent challenges identified from selected studies

Challenges of unstructured big data IE	Studies	Frequency
Data quality	[31, 58, 59, 63, 64, 84, 95, 138]	9
Data sparsity	[16, 22, 31, 34, 95]	6
Data volume	[10, 13, 15, 19, 65]	5
Data usability	[11,12,13, 27, 28]	5
Context understanding	[27, 31, 39, 64]	4
Computational requirements	[15, 68, 84, 124]	4
Data dimensionality	[16, 18, 66]	3
Heterogeneity	[33, 131]	2
Diversity	[55, 124]	2
Semantic understanding	[43, 44]	2
Data modeling	[16, 68]	2
Ambiguities in data	[31, 105]	2
Data scarcity	[62]	1
Balance among informativeness, representativeness, and diversity	[127]	1