Sentence examples for text analysis methods from inspiring English sources

Last year, Harvard patented and licensed some of his text analysis methods to Crimson Hexagon, a Cambridge startup company.

We test our theory systematically by applying machine learning and automated text analysis methods to classify 9,380 federal and state cases mentioning veil-piercing or disregarding the corporate form.

Patent data has been an obvious choice for analysis leading to strategic technology intelligence, yet, the recent proliferation of machine learning text analysis methods is changing the status of traditional patent data analysis methods and approaches.

Besides addressing fundamental questions about text analysis methods, the volume presents a diverse array of Czech data that are unique in their own right and worthy of dissemination to the general audience.

If we want to create a keyword navigation structure, we can think about keywords from the human perspective and can use digital text analysis methods so as to see the keywords a computer-perspective might generate.

This kind of text analysis methods obviously has a hard time coping with ironic statements, leading to a risk of false positives where jokes are classified as a potential marker or leakage.

The purpose of this study was to investigate using text-analysis methods how the off-campus program affects students.

Fortunately, new research using automated text analysis and methods from linguistic psychology offer some simple, actionable, and nearly cost-free solutions to improve the speaking terms by which companies engage their customers.

Text-based analyses: Text analysis-based methods infer localization from experimental information contained in the literature, such as PubMed abstracts (Brady and Shatkay, 2008 ) or from controlled vocabularies of curated databases, such as SWISS-PROT keywords (Nair and Rost, 2002a ).

These are text analysis-based methods [13 15] focusing on choice of words, acoustic-based methods focusing on non-verbal as well as verbal parts of speech [16, 17], wearable devices visual analysis-based methods from image and videos [8, 18 20].

To address these challenges, we propose an approach based on integrating automatic text mining and network analysis methods to extract known disease genes and to predict unknown disease genes, which can be good candidates for experimental study.