News Segmentation Results
The following XML shows a single record produced by news segmentation.
<NewsSegmentationResult>
<id>af4475f5-beb2-401e-bf73-fb494f63af27</id>
<storyText>business secretary says the government will consider co investing
with a Buy on commercial terms <SIL> ...</storyText>
<score>0</score>
<terms>
<term>
<text>Buy</text>
<weight>170</weight>
</term>
<term>
<text>business secretary says</text>
<weight>120</weight>
</term>
<term>
<text>consider co investing</text>
<weight>110</weight>
</term>
<term>
<text>commercial terms</text>
<weight>90</weight>
</term>
...
</terms>
<type>Short story</type>
</NewsSegmentationResult>
The record contains the following elements:
storyTextcontains the text extracted from the video. The text is extracted from the audio by speech-to-text. Words are then combined into segments by the text segmentation task. News Segmentation analyzes the segments and combines one or more segments into a result that represents a story, short story, or video with no topic.scoreis an integer from 0 to 100 that indicates the consistency between the terms in each segment that makes up thestoryText.- each
terms/term/textelement contains a key term extracted from the text. - each
terms/term/weightelement contains the weight of the associated term. You might want to use this weight when building a term cloud. The weights are relative to the other terms in the story, and cannot be compared across stories. - the
typeelement specifies whether the news segmentation task has classified the segment as aStory,Short Story, or a segment withNo topic.