Figure 1. Scatter plot of word embedding coordinates (coordinate #3 vs. coordinate #10). You can see that semantically related words are close to each other.

This blog post is an extract from chapter 6 of the book “From Words to Wisdom. An Introduction to Text Mining…

Introduction

This blog was originally posted as part of our Text Analysis 101 blog series. It aims to explain how the classification of text works as part of Natural Language Processing. It was the second blog on harnessing…

In this series I reveal and explain rules of intelligence contained within grammar, that can be utilized to unleash intelligence in software. These rules are extremely simple, but still undiscovered by scientists.



To be able to explain making assumptions, we need to understand (the difference with) drawing conclusions first:

• Conclusions are drawn straight ahead - top-down - like in: Given "John is a father." and "…

This is a quick entry to tell you about three things --



- My free report, "Text/Content Analytics 2011: User Perspectives on Solutions and Providers," is out. Are you looking for business value in "unstructured" social, online, or enterprise sources? My report will provide background information and "wisdom of the crowds" guidance you can use. Download the report free via altaplana.com/TA2011.



- For a deeper dive into…