For example, Hidden Markov Models were used for speech recognition in the 1970s and were adopted for use in bioinformatics—specifically, analysis of protein and DNA sequences—in the 1980s and ...

Patients with chronic diseases may have files that include dozens of clinical records that providers may not have time to ...

Natural Language Processing (NLP) technologies are critical for enterprises that handle a lot of unstructured text. Sentiment analysis, chatbots, text extraction, text summarization, and speech ...

The United States Customs and Border Protection (CBP) is seeking pitches from tech companies for a forensic tool intended ...

Sentiment analysis categorizes text into different emotional tones, such as positive, negative, or neutral, and sometimes into more detailed emotions like anger, happiness, or sadness. Examples of ...