In modern text data analysis, NLP tools and NLP libraries are indispensable. Researchers and businesses use natural language processing tools to draw information from text data analysis. This analysis includes analyzing customer feedback, automating support systems, improving search and recommendation algorithms, and monitoring social media. There are a wide array of NLP tools and services available, and knowing their features is key to good results. While some tools are perfect for small projects, others are better for experts working on big data.

On behalf of Dimensional Concepts LLC (DCL) of Reston, Virginia I attended a meeting sponsored by the DC-based think tank Center for Data Innovation titled U.S. Data Innovation Day 2018: The Future of Data-Driven Medicine. What data governance challenges are associated with applying AI techniques to new drug discovery and development? What data governance challenges are specific to medical AI applications? Which data governance challenges are generic? What are the implications of using AI techniques for the business processes and regulations associated with new drug development and medical treatment delivery?

If you were already concerned that robots may one day take your job, the latest results from MIT may make difficult reading. An artificial intelligence system called ConceptNet recently took an IQ test designed for children and scored higher than an average four-year-old. After five tests focusing on word reasoning and vocabulary, ConceptNet achieved a total score of 69 while a comparable pre-schooler achieved 50 - and the system is expected to get smarter. An artificial intelligence system called ConceptNet recently took an IQ test designed for children and scored more than an average four-year-old. ConceptNet is an open-source project run by the MIT Common Sense Computing Initiative.

Macquarie Bank is hoping to differentiate itself from rivals in the fiercely competitive digital banking space by using machine learning and natural language processing tools to give its customers detailed insight into their finances. The bank last week unveiled its new online and mobile banking platform for personal banking customers, a vastly significant upgrade from the online-only platform customers have been using to date. It's quite a few years late to market with such an offering, but decided to forego the competitive advantage that comes with being a first mover to wait until the stars aligned with its core banking overhaul and until it could deliver what it considers a truly differentiating offer. In designing the new platform - which consists of native iOS and Android apps and a website - the bank said it looked to customer experiences delivered by the likes of Netflix, Facebook and Spotify to create an offering that would compete with "the last app a customer used". As a result, Macquarie Bank personal banking customers can now use tools underpinned by machine learning and natural language processing technologies to tag and track transactions, automatically categorise spending, and "search-how-you-speak", among other things.

This study explores correlations between human ratings of essay quality and component scores based on similar natural language processing indices and weighted through a principal component analysis. The results demonstrate that such component scores show small to large effects with human ratings and thus may be suitable to providing both summative and formative feedback in an automatic writing evaluation systems such as those found in Writing-Pal.