Natural Language Processing (NLP)
TextText Generation
Worked on a Natural Language Processing (NLP) text‑labeling project focused on classifying various types of written content into structured categories. The project involved identifying sentiment, intent, topic relevance, and context across large text datasets. Using platforms such as Surge AI, Toloka, and Labelbox, I performed high‑accuracy annotations by following detailed guidelines, resolving ambiguous text cases, and maintaining consistent labeling standards. The labeled data was used to train and improve machine‑learning models for tasks such as sentiment analysis, intent detection, and content filtering.
Worked on a Natural Language Processing (NLP) text‑labeling project focused on classifying various types of written content into structured categories. The project involved identifying sentiment, intent, topic relevance, and context across large text datasets. Using platforms such as Surge AI, Toloka, and Labelbox, I performed high‑accuracy annotations by following detailed guidelines, resolving ambiguous text cases, and maintaining consistent labeling standards. The labeled data was used to train and improve machine‑learning models for tasks such as sentiment analysis, intent detection, and content filtering.
2025 - 2025