Video description
Today's web analyst has moved far beyond funnels and visitors. Automated systems decide who gets what content, and language parsing tries to distill sentiment from millions of online interactions. This panel will look at where web analytics is headed, and how new algorithms and approaches are yielding fresh insights into online commerce.
Table of contents
Product information
- Title: Online Sentiment, Machine Learning, and Prediction
- Author(s):
- Release date: March 2011
- Publisher(s): O'Reilly Media, Inc.
- ISBN: 9781449306205
You might also like
video
Online evaluation of machine learning models
Academic machine learning almost exclusively involves offline evaluation of machine learning models. In the real world …
video
Executive Briefing: Explaining machine learning models
ML methods have been causing a revolution in several fields, including science and technology, finance, healthcare, …
book
State-of-the-Art Deep Learning Models in TensorFlow: Modern Machine Learning in the Google Colab Ecosystem
Use TensorFlow 2.x in the Google Colab ecosystem to create state-of-the-art deep learning models guided by …
book
Sentiment Analysis in Social Networks
The aim of Sentiment Analysis is to define automatic tools able to extract subjective information from …