As AI continues to evolve, its role in the humanities will likely expand. Future projects may integrate multimodal ...

Text Analytics at CFPB Sabo recently used this virtuous combination of text analytics and machine learning to explore patterns in data gathered by the Consumer Financial Protection Bureau (CFPB), ...

We demonstrate how a novel synthesis of three methods— (1) unsupervised topic modeling of text data to generate new measures of textual variance, (2) sentiment analysis of text data, and (3) ...

As one of the most popular, versatile, and beginner-friendly programming langauges, Python can be used for a variety of tasks from analyzing data to building websites. This workshop builds on the ...

Sentiment analysis defined Sentiment analysis is analytical technique that uses statistics, natural language processing, and machine learning to determine the emotional meaning of communications.

Using machine learning, Text Analytics & Sentiment Analysis automatically analyzes open-ended feedback (such as survey comments) to reveal measurable, actionable insights.

Through the act of suggesting some words and not others, the predictive text features in our devices change the way we think — and therefore shape our culture.

Academics from UK and China have developed a new machine learning algorithm that can break text-based CAPTCHA systems with less effort, faster, and with higher accuracy than all previous methods ...