Text Analyst
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Text SummarizationGot it — here’s a **non‑plagiarized, Text Analyst–focused project description** you can use directly in your onboarding form: --- Text Analyst Scope of the Project The assignment centered on analyzing written datasets and applying structured labels to improve machine learning models in natural language processing. The work aimed to refine how systems interpret meaning, sentiment, and context in text. Specific Data Labeling Tasks 1. Annotating named entities such as people, organizations, and locations. 2. Categorizing text passages by sentiment, intent, or thematic topic. 3. Producing concise summaries of longer documents. 4. Highlighting unclear or low‑quality samples for additional review. 5. Following detailed annotation guidelines and participating in calibration sessions to ensure consistency. Project Size The dataset included roughly 10,000 text samples, divided into smaller batches for systematic processing. Each batch was reviewed by multiple analysts to maintain uniformity across the project. Quality Measures Adhered To 1.Inter‑annotator agreement maintained at or above 95%. 2.Dual‑review process where each annotation was checked by at least two analysts. 3. Weekly alignment meetings to clarify guidelines and reduce subjective differences.