Text data management and analysis

Recent years have seen a dramatic growth of natural language test data, including web pages, news articles, scientific literature, emails, enterprise documents, and social media such as blog articles, forum posts, product reviews, and tweets. This has led to an increasing demand for powerful software tools to help people manage and analyze vast amounts of text data ef-fectively and efficiently. Unlike data generated by a computer system or sensors, text data are usually generated directly by humans, and capture semantically rich content.
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