遇见数据集

TrendingTopics (hyperlocal datastream)

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Datarade2024-04-19 收录
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资源简介:

APPLICATIONS [1] objectively classify & describe a locations true characteristics based on preferential dimensions. [2] discover periodic or anomalous hotspot patterns to qualitative explain behavior. [3] enrich your business intelligence & segmentation models with geo-emotional context. METHODOLOGY Affectra indexes millions of weekly realtime geo-tagged events normalized & statistically sampled form various trusted sources to represent a snapshot of society. We mix & process these signals through our proprietary machined-learned algorithms to produce consistent density-based weighted ranking of conceptual topics. Our metrics have been real-world correlated & tested.

提供机构:
Affectra
搜集汇总
数据集介绍
TrendingTopics (hyperlocal datastream) 数据集图片
背景与挑战
背景概述
TrendingTopics(超本地数据流)数据集通过Affectra索引每周数百万实时地理标记事件,应用专有机器学习算法生成基于密度的概念主题加权排名,以客观分类位置特征、发现热点模式并丰富商业智能。其指标已通过实际相关性测试,为地理情感上下文分析提供支持。
以上内容由遇见数据集搜集并总结生成
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