> Raw data alone isn’t enough. AI models require annotated and labeled datasets to learn effectively. Accurate annotation demands specialized tools and skilled professionals, which can be challenging to secure. Our services provide the expertise and resources needed to label your data efficiently and cost-effectively.
We organize and structure data by categorizing and classifying text or audio information. Text categorization, such as sorting customer reviews or social media posts, supports sentiment analysis. Audio classification, including speaker or language identification, enhances voice recognition models for various commands and accents.
We transform audio, speech, and video data into written formats, including subtitles and captions. This provides structured information for AI models in natural language processing and voice recognition, enabling precise analysis and improving accessibility across diverse applications.
Our services identify and classify entities like names, locations, dates, and more in text. This enables AI to extract valuable insights, personalize chatbot responses, improve geo-targeting, and efficiently manage scheduling tasks, making unstructured data highly actionable.
We analyze emotional tone in text, classifying it as positive, negative, or neutral with sentiment intensity scoring. This helps AI models understand human emotions and opinions, improving applications such as customer feedback analysis and social media monitoring.
We label and categorize text to identify users' underlying intent, such as requests or commands. This helps chatbots, virtual assistants, and similar AI systems deliver accurate responses and actions tailored to user needs.
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