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.

How we understand term distinctiveness can really matter for how we characterize texts or their authors. Let’s look at another example from those open-ended responses we collected on where Americans ...

A strong rhetorical analysis will not only describe and analyze the text, but will also evaluate it; that evaluation represents your argument. Description: What does this text look like? ... The ...

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

Literary analysis is always a part of reading, whether you realize it or not. As we get older, critical thinking becomes a natural part of reading — analyzing text for symbolism and deeper ...

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 ...

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 ...

Google LLC is moving forward with its effort to help developers add more layers of intelligence into their software applications, announcing general availability of two new machine learning services.

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. If you wanted to share your ...