Field of artificial intelligence that focuses on the interaction between humans and computers using natural language, allowing computers to analyze, understand, and generate human language.
Subfield of artificial intelligence that focuses on enabling computers to learn and improve from experience without being explicitly programmed, using algorithms and statistical models to identify patterns in data and make predictions or decisions.
Use of software tools and technologies to automate routine, repetitive, or time-consuming tasks performed by humans, such as data entry, report generation, or document processing, to improve efficiency and reduce errors.
Using artificial intelligence technologies such as computer vision or natural language processing to identify and analyze human emotions based on their facial expressions, speech, or text.
Automatically classify text documents into predefined categories based on their content, using algorithms such as Naive Bayes, Support Vector Machines, or Deep Learning models.
Computers recognizing and interpreting human speech, converting spoken words into text or other forms of output, using algorithms such as Hidden Markov Models, Deep Neural Networks, or Hybrid models.
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