Text Analysis
Text analysis is the process of extracting meaningful information and insights from unstructured text data using computational methods. It involves techniques such as natural language processing (NLP), text mining, and machine learning to analyze, interpret, and derive patterns from textual content. Common applications include sentiment analysis, topic modeling, named entity recognition, and text classification.
Developers should learn text analysis to build applications that process and understand human language, such as chatbots, recommendation systems, and content moderation tools. It is essential for industries like marketing (analyzing customer reviews), finance (monitoring news sentiment), and healthcare (extracting information from medical records). Mastering text analysis enables developers to transform raw text into actionable data for decision-making and automation.