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Location Inference Enrichment

Provider: Datastreamer
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Location Inference infers the location of origin of a media post.
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  • Connection:
  • Integrated

Description

Location Inference Enrichment work to infer the location of the author of a piece of text content, by assessment and predicting on a number of parameters in the data. Datastreamer Location Inference Enrichment model cover 65+ country and 8+ languages.

Model Categories

We have two categories of Location Inference models, which are based on the conversational patterns present on the source:


Conversional-Style Models: trained on social content that has more text features. They require some text features to be present in the data for better prediction, and can predict on a more granular level. 

  • Example Sources: Twitter, Reddit, WeChat, Threads, WhatsApp, Forums, Slack, Discord, Telegram, Support chatbot conversations.

 

Broadcast-Style Models: trained on social content lacking large amounts of surrounding context. However, they can be more limited in their coverage. 

  • Example Sources: Instagram, Snapchat, Quora, TikTok, Pinterest, Blogs, LinkedIn, Facebook, YouTube, Stack Exchange, P2P Marketplace Listings, Tumblr, User Reviews, Email Content.

Use Cases

  1. In conjunction with aggregations and sentiment, high-level assessments of sentiment towards a brand in a specific city could be delivered to a product’s dashboard. 
  2. Spanish language location inference can give a country-level view of Spanish content rather than relying on keywords or language.
  3. Japanese language location inference can give a country-level view of Japanese content rather than replying on keywords or language.
  4. Location Inference can give a more city-level view of content than replying on keywords or language.
  5. Location Inference can be used in its inverse to remove certain cities or countries from the results of content in a specific area.

Components from This Provider

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  • Coverage Details
65+ Country Inference Coverage
8+ Languages

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