Generating a word cloud (also known as a tag cloud) is a good way to mine internet text. Word (or tag) clouds visually represent the occurrence of keywords found in internet data such as Twitter feeds.
Creating a word cloud using Python and SAS® software was published on SAS Users.
Natural language understanding (NLU) is a subfield of natural language processing (NLP) that enables machine reading comprehension. While both understand human language, NLU goes beyond the structural understanding of language to interpret intent, resolve context and word ambiguity, and even generate human language on its own. NLU is designed for […]
So, you’ve figured out NLP but what’s NLU? was published on SAS Users.
Structuring a highly unstructured data source Human language is astoundingly complex and diverse. We express ourselves in infinite ways. It can be very difficult to model and extract meaning from both written and spoken language. Usually the most meaningful analysis uses a number of techniques. While supervised and unsupervised learning, […]
Text analytics explained was published on SAS Users.
There is tremendous value buried text sources such as call center and chat dialogues, survey comments, product reviews, technical notes, legal contracts… How can we extract the signal we want amidst all the noise?
Automatically extracting key information from textual data was published on SAS Users.
Amidst the growing popularity of modern machine learning and deep learning techniques, one of the biggest challenges is the ability to obtain large amounts of training data suitable for your use case. This post discusses how the analytical approach for Named Entity Recognition (NER) can help.
Reduce the cost-barrier of generating labeled text data for machine learning algorithms was published on SAS Users.
Facebook now uses technology to help detect instances of cyberbullying before it gets out of hand. I heard this report on CNN last week, and the Facebook spokesman described their detection techniques as “background technology that I can’t really…