Are you getting lots of site visitors, but not a lot of sales? Search relevance and improving the strength of your search engine may be the answer.
Working with crowdsourced data vendors unlocks access to an inexpensive, scalable workforce. In this post, we describe key benefits of crowdsourcing data.
Take an in-depth look at one particular use case of natural language processing that is founnd in many people’s daily lives: voice assistants.
The article introduces 10 open datasets for linear regression tasks and includes medical data, real estate data and stock exchange data.
Although many people use the terms text mining and text analytics interchangeably, there are key differences. Learn what text mining is, the processessing techniques used and its practical applications.
Learn about product categorization (also known as product classification) and how it’s crucial to the eCommerce industry.
Capturing enough accurate, quality data at scale is a common challenge. Discover four ways to source raw data for machine learning, and how to go about annotation process.
Text analysis tools offer a multitude of benefits, but how do they work? We look at types of AI text analysis, their use cases and how to get started.
To train NLP algorithms, large annotated text datasets are required. Learn more with a brief introduction to five common types of text annotation.
While the pace of AI innovation is quick, it is not without obstacles. Navigate around impediments with insights from this article.
Take a look at why a global approach to NLP is so important for the future of machine learning in non-English languages.
Facial recognition is a field within AI and computer science that seeks to give machines the ability to interpret human faces. This beginner’s guide explains types of face recognition processes, how they work, various applications and how accurate they are today.
Enrich your data with our range of human-annotation services at scale.
