Text mining, also known as text analysis or natural language processing, is a branch of artificial intelligence and machine learning that focuses on extracting useful information and knowledge from text written in natural language. This technique uses algorithms and computational tools to analyze large amounts of textual data, identify patterns and trends, and convert the text into structured data that can be analyzed.
Text mining is applied in a wide variety of areas, such as sentiment detection in social networks, identification of topics and trends in news and blogs, automatic document categorization, information extraction from medical documents, among others. Some common techniques used in text mining include word frequency analysis, feature extraction, text classification, document clustering and entity detection.
Text mining is a powerful tool to leverage the vast amount of textual information available today and generate valuable insights that can be used in different fields, such as decision making, market research, process automation and user experience improvement.
Artificial intelligence is increasingly used and applied in many sectors, and as it could not be less, it has entered with force in the field of [...]
Read More »Artificial intelligence (AI) solutions are valuable in reducing product returns. Through data analysis and decision [...]
Read More »In the dynamic financial world, optimizing the return on available assets is essential to the success of any lender. Gam [...]
Read More »Deep learning translates as deep learning and is a type of artificial intelligence (AI) that is encompassed within machine learning.
Read More »
