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:
storyText
contains 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.score
is an integer from 0 to 100 that indicates the consistency between the terms in each segment that makes up thestoryText
.- each
terms/term/text
element contains a key term extracted from the text. - each
terms/term/weight
element 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
type
element specifies whether the news segmentation task has classified the segment as aStory
,Short Story
, or a segment withNo topic
.