Exploratory Data Analysis in Natural Language Processing
The primary goals of EDA in NLP include understanding data distribution, identifying patterns, detecting outliers, and uncovering relationships among variables. These insights allow data scientists to formulate hypotheses, guide data collection, and inform model selection and tuning.