Deep Learning Datasets

Deep learning is a subset of machine learning: both technologies fall under the umbrella of artificial intelligence. While artificial intelligence can be broadly defined as the programming of machines to act and think in the same way as humans, deep learning takes this mimicry a step further. Deep learning machines are built to mirror the neural networks of a human brain.

These artificial neural nodes are interconnected in a layered, hierarchical web. Algorithms are stacked, with one algorithm lifting a certain aspect of the data which is then fed into the next algorithm, lifting another feature. A deep neural network can have as many as 150 “layers”. Data progresses through this hierarchical structure, and by example, the deep learning dataset learns to accurately and quickly draw insights.

Processing big data intuitively with a number of factors at once, deep learning datasets can process levels of data that would be otherwise impossible for humans to analyse. With its ability to process large amounts of data, a deep learning dataset has the capacity to process more data with more accuracy, despite needing to be “taught” to think like a human. As it can process datasets in a nonlinear fashion, a deep learning dataset can analyse and learn from unstructured and unlabelled data. So, what kind of deep learning datasets are out there?

Nexis DaaS Deep Learning Datasets

Nexis DaaS deep learning datasets are unmatched in their scope, range and reliability. The Nexis DaaS content collection ranges across 80,000 sources, 80M companies, 13K+ topics and 75 languages in 100+ countries, with 4.5M documents added daily.

It would take countless hours for the average data scientist to extract meaningful insights from a dataset of this volume. Nexis Data as a Service enables you to spend more time focusing on these insights, and less time wrangling the data itself. We do this through a data enrichments process, that is like no other in the industry.

Nexis DaaS is engineered to keep up with high volumes of data, with a long history of innovation behind them. For over 45 years, they have been pushing the boundaries of what’s possible with regard to intelligent algorithms, and their deep learning dataset draws accurate semantic analysis from semi-structured data. Nexis® Data as a Service from LexisNexis® is a trusted content provider connecting organisations to an unrivalled collection of news datasets, business and legal sources to power big data projects.

Financial Trend Analysis

Use big data related to hedge fund news for financial trend analysis, quant modeling or predictive analytics based on event/price correlations to generate business insights and drive measurable value.

Corporate Data Science

Easily integrate print and online news data feeds into machine learning applications and access billions of relevant documents and data points to support business-critical data analytics.

Risk & Supply Management

Stay on top of emerging industry trends, regulatory changes, and potential disruptive events that could pose a risk with adverse online news articles, sanctions, PEPs and watchlist data integration.


Integrate relevant news and social media datasets into trend analysis applications and predictive analytics tools to conduct market data analysis, gauge brand performance and gain constructive competitor intelligence.

Thought Leadership & Resources