Building Smarter Web Applications with Text Mining

  • 60 minute session

Text mining (aka Text Analytics) technology has been present in the market for the past decade. However, very few applications integrate and leverage it. The goal of this talk is to discuss the use and the integration of this technology and to show you the potential and possibilities it may offer to your applications.

We will start with a quick review of Text Mining's key concepts. Then, we will talk about existing technologies in the market with a focus with open source technologies, we will review their features and their limits (entity annotation, concept extraction, taxonomy categorization, summarizer, sentiment analysis, language detection, exchange format, etc.). Finally, we will discuss how Text Mining could be integrated and leveraged inside a (or your) Web application, we will go through some examples of existing integrations with open source solutions such as Wordpress and Drupal.

About

With more than fourteen years of experience in the software engineering / development and more than 8 years as a Solution Architect. During all those years, I have had the opportunity to hold different roles such as senior developer, technical lead and solution architect. I hold a master degree of science and a bachelor degree in Information Technology Management, a PHP (Zend Certified Engineer), a MySQL Sun Database, SCRUM and TOGAF Certifications.

I am an expert related to Web technologies (particularly with the LAMP stack) with a strong domain expertise with Open Source Technologies, ERP, Ecommerce, CRM, Information Retrieval and Analysis, Enterprise Search and Site Search, Web Content Management (WCM), Digital Asset Management (DAM), Natural Language Processing (NLP), Semantic Analysis and Enterprise Architecture.

The OSDC 2014 team is dedicated to providing a friendly, safe and welcoming conference environment for everyone. We have a code of conduct to clearly outline our expectations. Our goal is to create a safe and harassment-free conference experience for all involved, regardless of gender, sexual orientation, disability, ethnicity, religion, preferred operating system, programming language or text editor.