Categorize it!

Use machine learning to categorize and analyze content in any language

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How it works?

Our service observes available content and uses machine learning to analyze and categorize it. Output categories can be based on our predefined or tailored-for-you category sets. We also detect closed or soon-to-be closed businesses, and domains up for sale.

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Category Taxonomy on Steroids

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Alignment

Let us do the heavy lifting of category taxonomy alignment for you. Using natural language processing techniques, PlaceLab Categorization Suite performs automatic category mapping of any given taxonomy into our predefined or custom made ones. It works across many languages, scales and returns results immediately.

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Verification

Categorization problems often arise from language ambiguities, lack of context or initial choice of categories that simply do not describe the business adequately. PlaceLab Categorization Suite can review existing categorized content, correct or suggest new categories to be added.

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Enrichment

Missing categories in your business listings? No problem. Based on all provided clues and empowered with our internal tools, keeping context in mind, we will find the best category fit for all businesses you have on hand.

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Search

Showing results for http://ogawasrestaurant.com

  • Food
  • Nightlife

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PlaceLab’s Category Taxonomy

Accommodation

  • Camping
  • Hostelry

Attractions

  • Museum

Automotive

  • Dealer
  • Repair and Parts
  • Station

Business and Services

  • ATM
  • Bank
  • Beauty
  • Events
  • Finance
  • Funeral
  • Health
  • Home
  • Industry
  • Insurance
  • Law
  • Media
  • Public
  • Real Estate

Education

  • Library
  • School
  • Specialty
  • University

Entertainment

  • Amusement Park
  • Arts
  • Cinema
  • Park
  • Sport
  • Zoo

Food

  • Bakery
  • Café
  • Dessert
  • Restaurant

Geospatial

  • Building
  • Nature

Nightlife

  • Bar
  • Night Club

Religion

  • Church
  • Mosque
  • Synagogue
  • Temple

Routes

Shopping

  • Accessories
  • Bookstore
  • Clothing
  • Electronics
  • Florist
  • Groceries
  • Home and Garden
  • Mall
  • Pet Store
  • Pharmacy
  • Shoes
  • Sporting Goods

Transport

  • Airport
  • Car Rental
  • Parking
  • Public
  • Taxi
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