Transparency Market Research has released a new market report titled Text Analytics Market - Global Industry Analysis, Size, Share, Growth, Trends and Forecast 2016 - 2024. According to this report, the global text analytics market revenue stood at US$2.82 bn in 2015 and is expected to reach US$12.16 bn by 2024, at a CAGR of 17.6% from 2016 to 2024. 

Text analytics is a method of…

As you look ahead to 2016, it’s a good time to ponder: what’s the “new black” for improving customer experience? The Beyond the Arc team decided to play the role of #stylespotter and share some of our predictions.

Leaders will retool their culture to become more customer-focused

There’s an old saying that culture eats strategy for lunch. To us,…

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…

Text (word) analysis and tokenized text modeling always give a chill air around ears, specially when you are new to machine learning. Thanks to Python and its extended libraries for its warm support around text analytics and machine learning. Scikit-learn is a savior and excellent support in text processing when you also understand some of the concept like "Bag of word", "Clustering" and "vectorization". Vectorization is  must-to-know technique for all machine leaning learners, text miner…

Have you seen the press coverage related to my book, Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die (Wiley, February 2013)?

If you're already an expert practitioner, these articles can serve to help ramp up your clients and coworkers.

If your work doesn't connect to data munching in any way, these articles (and the book) are still totally for you. This accessible book has been…

We have seen few posts ago an approach to extract meta "concepts" from text based on latent semantic paradigm.

In this post we apply this approach to classify documents, and we do a comparison between this approach and the canonical bag of words.

The comparison test will be done through the ensemble method already showed in the last post.

To read the entire post click …