Natural language processing (NLP) is a form of machine learning technology that empowers computers to understand, manipulate, and interpret human language.
By applying advanced analytical techniques such as Naïve Bayes, Support Vector Machines (SVM), and other deep learning algorithms, companies can uncover hidden facts, relationships, and statements buried within vast amounts of unstructured textual data. Once extracted, this information is transformed into a structured format, enabling further analysis or direct presentation using clustered HTML tables, mind maps, charts, and other methods.
Text is one of the most prevalent data types found in databases, and it can be organized in various ways, including structured data, unstructured data, or semi-structured data, depending on the type of database.
Advancements in big data platforms and deep learning algorithms have made text mining more feasible for data scientists and other users, enabling the analysis of extensive sets of unstructured data.
In sectors such as insurance, legal, and healthcare, businesses handle substantial volumes of sensitive documents, such as medical records, financial data, and private information. To avoid manual review, companies now utilize NLP technology to redact personally identifiable information and protect sensitive data.
Text Mining AI
