Hands-On Machine Learning for Algorithmic Trading

Individuals

Individuals automatically create electronic data through online activities, as well as through their offline activity as the latter is captured electronically and often linked to online identities. Data generated by individuals is frequently unstructured in text, image, or video formats, disseminated through multiple platforms and includes:

• Social media posts, such as opinions or reactions on general-purpose sites such as Twitter, Facebook, or LinkedIn, or business-review sites such as Glassdoor or Yelp
• E-commerce activity that reflects an interest in or the perception of products on sites such as Amazon or Wayfair
• Search engine activity using platforms such as Google or Bing
• Mobile app usage, downloads, and reviews
• Personal ...