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Table 1.

Features used in the analysis.

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Table 1 Expand

Table 2.

Example helpful and unhelpful reviews.

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Table 2 Expand

Fig 1.

Vote distributions.

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Fig 1 Expand

Table 3.

Descriptive statistics of the balanced datasets after pre-processing.

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Table 3 Expand

Table 4.

The classification accuracy and ranking (In-category/Overall) of individual features.

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Table 4 Expand

Fig 2.

Feature performance versus stability.

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Fig 2 Expand

Table 5.

Optimal combinations of features within each category.

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Table 5 Expand

Fig 3.

Comparison between max-performance individual feature (Blue) and max-performance combination of features (Orange) within each category.

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Fig 3 Expand

Table 6.

Frequent feature combination patterns within each category.

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Table 6 Expand

Table 7.

Optimal combinations of all features.

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Table 7 Expand

Fig 4.

Comparison among the max-performance individual feature (Blue), max-performance in-category feature combination (Orange), and max-performance combination of all features (Green).

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Fig 4 Expand