Textual Analysis
Textual analysis is a methodology for systematically examining and interpreting written or spoken language to extract meaningful insights, patterns, and information. It involves techniques from linguistics, statistics, and computer science to process, analyze, and derive conclusions from text data. Common applications include sentiment analysis, topic modeling, keyword extraction, and summarization.
Developers should learn textual analysis when working with natural language processing (NLP) tasks, such as building chatbots, analyzing customer feedback, or processing large volumes of documents. It is essential for extracting actionable insights from unstructured text data in fields like social media monitoring, market research, and content recommendation systems.