Abstract: Bias scores can be generated from articles. A bias score generator can be configured to aggregate and process articles to identify entities and policies that appear in the articles and to generate sentiment values for the entities and policies. Aspect-based targeted sentiment analysis may be employed to generate the sentiment values. The bias score generator can process the sentiment values to generate a bias score for each article. Bias scores for multiple articles can be combined to generate a media bias score for a source of the articles. Bias loaded words and bias loaded snippets may also be used to generate a media bias score.

Abstract: The optimized inequality join method is a method for joining relational tables on input inequality conditions. The optimized inequality join method is a relatively fast inequality join method using permutation arrays to store positional information for sorted attributed values. Additionally, space efficient bit arrays are used to enable optimization, such as Bloom filter indices, thus providing faster computation of the join results. The method may be used, for example, for joining various inequalities associated with a variety of measured environmental conditions for raising an alarm when certain conditions are met.

Abstract: The optimized inequality join method is a method for joining relational tables on input inequality conditions. The optimized inequality join method is a relatively fast inequality join method using permutation arrays to store positional information for sorted attributed values. Additionally, space efficient bit arrays are used to enable optimization, such as Bloom filter indices, thus providing faster computation of the join results. The method may be used, for example, for joining various inequalities associated with a variety of measured environmental conditions for raising an alarm when certain conditions are met.