Recommendation Chart of Domains for Cross-Domain Sentiment Analysis: Findings of A 20 Domain Study
Table 3: Our reccomendation chart based on CDSA results: In Domain Accuracy(when source and target domains are same), Average CDSA Accuracy Degradation(average cross-domain testing accuracy loss over all target domains), Best Source Domain, Best Target Domain for each domain.
['[BOLD] Domains  [BOLD] D1', '[BOLD] Domains  [BOLD] Amazon Instant Video', '[BOLD] In Domain Accuracy (%) 84.84', '[BOLD] Average CDSA Accuracy Degradation (%) 10.82', '[BOLD] Best Source Domain D10', '[BOLD] Best Target Domain D10']
We also show in-domain sentiment analysis accuracy, the best source domain (on which CDSA classifier is trained), and the best target domain (on which CDSA classifier is tested) in the table. D15 suffers from the maximum average accuracy degradation, and D18 performs the best with least average accuracy degradation, which is also supported by its number of appearances i.e., 4, as the best source domain in the table. As for the best target domain, D9 appears the maximum number of times. The degradation suffered is as high as 23.18%. This highlights the motivation of these experiments: the choice of a source domain is critical. We also observe that the automative domain (D2) is the best source domain for clothing (D6), both being unrelated domains in terms of the products they discuss. This holds for many other domain pairs, implying that mere intuition is not enough for source domain selection.