How Does Text Become Data

Explore the world of Natural Language Processing (NLP) in this 35-minute conference talk from Strange Loop 2013. Dive into the challenges of making NLP flexible and practical for real-world applications. Learn how concept-based text understanding can help extract meaning from creative online communication, going beyond keywords and ontologies. Discover techniques for quantifying and making decisions with textual data, including methods for comparison and error estimation. Follow along with examples and code as the speakers demonstrate how to build models of human thought processes and integrate them into useful tools like search engines, recommender systems, and classifiers. Gain insights from Dr. Catherine Havasi, CEO of Luminoso and MIT Media Lab researcher, and Rob Speer as they share their expertise in artificial intelligence, computational linguistics, and common sense reasoning. Explore topics such as data visualization, classification, word meaning, and ConceptNet throughout this informative presentation.

Introduction
Code examples
Data visualization
Classification
Text
Word Meaning
ConceptNet