CUSTOMER SUCCESS STORIES

Repustate has helped organizations worldwide turn their data into actionable insights.

Customer Success Stories

  • 12 million surveys annually
  • Arabic and English
  • Trends from historical data
  • Sentiment Analysis
  • Native Arabic model

Arabic Sentiment Analysis Solution for Health-Links

Repustate helped bring patient voice to the forefront by working with Health-Links to automatically classify hospital patient feedback by sentiment as well as into multiple semantic categories.

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  • 9 Terabytes of data
  • 100,000 documents
  • Audio/Video/text files
  • Semantic Search
  • Customized

Semantic Search Solution for Getting Things Done

Repustate provided GTD with a customized semantic search solution, capable of handling terabytes of data and making over 100,000 pieces of archived content instantly searchable and discoverable.

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  • Custom Arabic model
  • 3 Arabic dialects
  • Semantic video search
  • Sentiment Analysis
  • Video/Audio/Text files

Semantic Video Search & Sentiment Analysis for Appenza Studio

Repustate semantically classified the entire Arabic & English academic library of the Ministry of Education, Egypt. A sentiment analysis model was created to gauge the efficacy of the Appenza education mobile app.

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  • 145 Saudi cities and villages
  • Aspect-based sentiment analysis
  • Patient Voice
  • Voice of Employee (VoE)
  • English & Native Arabic model

Nahdi Medical Voice of Customer and Employee Success Story

Repustate developed a customized aspect-based sentiment model to capture and analyse both, the voice of the employee (VoE) and voice of the customer (VoC) data, using a customized, native Arabic NLP model.

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