Glossary: Definitions of Key Terms

• Artificial Intelligence (AI): A field of computer science focused on creating systems capable of performing tasks that typically require human intelligence, such as pattern recognition, decision-making, and language understanding.

• Machine Learning: A subset of AI that involves training a computer model to make predictions or decisions based on data.

• Natural Language Processing (NLP): An area of AI concerned with the interaction between computers and humans through natural language, enabling computers to process and analyze large amounts of natural language data.

• Blockchain: A decentralized digital ledger that records transactions across many computers in such a way that the registered transactions cannot be altered retroactively.

• Cryptocurrency: Digital or virtual currencies that use cryptography for security and operate on decentralized networks based on blockchain technology.

• Tokenomics: A portmanteau of "token" and "economics," referring to the economic model and utility of a cryptocurrency token within its ecosystem.

• Liquidity Pools: Collections of tokens locked in a smart contract to facilitate trading by providing liquidity on decentralized exchanges.

• Governance: The process of decision-making within a blockchain or decentralized finance (DeFi) ecosystem, often involving token holders voting on proposals related to the project's development.

• Staking: The process of holding funds in a cryptocurrency wallet to support the operations of a blockchain network. Often, staking rewards users with additional tokens.

• Sentiment Analysis: The use of NLP to identify and extract subjective information from sources, determining the sentiment of text data, such as positive, negative, or neutral.

• Deep Learning: A class of machine learning algorithms that use multiple layers of nonlinear processing units for feature extraction and transformation, each successive layer using the output from the previous layer as input.