Text analysis is the process of examining and interpreting written content to extract meaningful information. It involves using various techniques to identify patterns, themes, and sentiments within the text. This can be applied to different types of content, such as articles, social media posts, or customer reviews, to gain insights into opinions and trends. Tools and methods for text analysis include natural language processing (NLP), machine learning, and sentiment analysis. These technologies help automate the analysis, making it easier to handle large volumes of text data. By understanding the underlying messages, organizations can make informed decisions based on the insights gathered.