Analyzing Patterns in Texts Imagine you’re reading a book, and you notice that one character is cheerful and upbeat, while the second character is pessimistic and never has anything positive to say.

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

Analyzing text for distinctive terms using pointwise mutual information By Samuel Bestvater and Sono Shah (Illustration by Pew Research Center and ET-ARTWORKS via Getty Images) When examining a ...

Key Characteristics of Sentiment Analysis: Text Classification: Sentiment analysis involves classifying text into predefined categories, such as positive, negative, or neutral sentiment.

Analysis: Why does the author incorporate these rhetorical appeals? (For example, why does the author incorporate calm music? What is the point of the pathos?) How would the reception of this text ...

Researchers have trained a machine learning model to identify people with post-traumatic stress disorder with 80 per cent accuracy by analyzing text data. The model could one day serve as an ...

Many organizations are managing massive amounts of information in their big data systems, but handling that inflow, and making it make sense is a massive challenge. Tagging is one solution, but how ...

Example 48 concerns claims for using AI to analyze speech signals and separate desired speech from extraneous or background speech.

Google launches new machine learning services for analyzing video and text content - SiliconANGLEGoogle Cloud Video Intelligence was launched in beta last March, and it has since been fine-tuned ...

Am I analyzing trends within a single text, or am I interested in comparing texts? Check out the examples below to figure this out: Single Text Example: What are the twenty most popular terms in Pride ...