Big Data and the Challenge of Unstructured Information Analysis

Explore methods for unlocking insights from big data in this conference talk on unstructured information analysis. Learn about the unique challenges posed by unstructured data and how traditional data analysis techniques fall short when dealing with social media sentiment, customer relationship narratives, and message traffic analysis. Discover intelligent processes for acquiring and enriching data using distributed computing infrastructure, leading to new opportunities for interactive examination of big data. Delve into topics such as text analytics use cases, statistical vs linguistic methods, random indexing, semantic technology applications, hybrid approaches, and the role of search in analytics. Gain insights into industrial revolutions, machine learning, and practical examples to enhance your understanding of big data analysis techniques.

Introduction
Agenda
Industrial Revolutions
Text Analytics Use Cases
Statistical Methods vs Linguistic Methods
Other Methods
Random Indexing
Random Indexing Challenges
Semantic Technology Applications
Hybrid Approaches
Search in Analytics
Example
Summary
Heat Calendar
Spamming
Machine Learning