Gauging User Intent Understanding the Internet

Understanding the Internet Better Comprehension for Better Intelligence


Intent Annotation at KarmaHub

Intent annotation needs to be refined for the search engines to give more accurate results, in a way that the machine can understand the user intent to provide a refined context based on the search keywords. To provide such a service enhancing user experiences and hence the chances of engagement of a global audience, high quality of semantic annotation, along with linguistic versatility and lexicon development needs to be organized.

The KarmaHub annotation methodologies are highly effective processes enabling rapid outputs from our experts. Your requirements could be varying and the Karma Crowd enables models to match your expectations to monetize your businesses much quicker and more efficiently. The real-world data capture through our APIs mature your models integrating complex requirements of machine learning algorithms through data intelligence services.

Approaches

Determining the appropriate user intent and the relevance of the results to the Query after establishing the most probable context is the core of successful AI systems. With KarmaHub access to in-market local experts, you are ensured that your training data puts into context the cultural nuances of the target market. As your crowdsourcing partner we bring together a diverse crowd with the pre-requisite skillsets to understand the importance of intent annotation. Our active learning models integrated with appropriate Quality Assurance processes bring to you a skilled crowd to the loop evaluating and annotating to perfection.

Intent Annotation at KarmaHub

  • Heavily relying on the Natural Language Processing Pipelines and understanding, we make your training data more reliable and improve the accuracies of your existing models to bring in digital maturity to your business processes with the power of AI. .

  • Intent Annotation Categories
    • Entity recognition
      • Tag names
      • Concept recognition
      • Personal information tagging
    • Linguistic annotation
      • Search relevance assessment
      • Social media evaluation
      • Sentiment analysis
      • Rule development
      • Translation & localization
    • Visual annotation for computer vision
      • Object detection
      • Image segmentation
      • Image classification
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