Determining Explanatoriness of Segments

A system, comprising:

• a segment generator to generate a parse tree for each sentence in a first data set and generate a plurality of segments from the parse trees;
• an explanatoriness scorer to generate an explanatoriness score of each segment based on an explanatoriness evaluation, the explanatoriness evaluation including comparing words in each segment to words in a second data set;
• and
• a summary generator to generate a summary of the first data set based on the explanatoriness scores, the summary including a subset of the plurality of segments.

A non-transitory computer readable storage medium storing instructions that, when executed by a processor, cause a computer to:

• generate a parse tree for each sentence in a data set, the data set related to an opinion;
• generate a plurality of segments from the parse trees, wherein at least some of the segments are shorter than a sentence from which they were generated;
• determine an explanatoriness score for each segment, the explanatoriness score indicating a likelihood that the respective segment describes a reason for the opinion;
• and
• rank the plurality of segments according to their explanatoriness scores.