In the last two decades, mass digitization has dramatically changed the landscape of scholarly research. The ability to ...

In the last two decades, mass digitization has dramatically changed the landscape of scholarly research. The ability to search digital transcriptions ...

Machine learning (ML) ... ML, by creating an application that can recognize, and extract text from any image, using Google’s ML Kit SDK and Text Recognition API.

Adding Insight To Recognition OCR is finally moving away from just seeing and matching. Driven by deep learning, it’s entering a new phase where it first recognizes scanned text, then makes ...

Machine learning-enabled handwriting and text recognition is significantly better at this job, in which it can not only recognize text in a wide range of printed or handwritten mode, but it can ...

Regular expressions vs. machine learning. One practical lesson I’ve learned tinkering with machine learning over the last couple of years is that, applied correctly, classifiers can do a much better ...

Many machine learning problems fall into one of three categories: tabular data prediction (such as the Iris species problem), natural language processing (such as the IMDB movie review sentiment ...

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), ...