Human annotators categorize data for AI model training, such as audio for NLP, text for sentiment analysis, or images for recognition models.
Categorize data into predefined categories, supporting applications like chatbots, speech recognition, text analysis, and sentiment recognition.
Convert spoken content from videos into written text for subtitling, boosting SEO and accessibility.
Analyze and label text as positive, negative, or neutral to train machine learning models for sentiment detection.
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