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TAW San Fran 2013 : Text Analytics World San Francisco


When Apr 17, 2013 - Apr 18, 2013
Where San Francisco
Submission Deadline Nov 9, 2012
Categories    text analytics   sentiment analysis   big data   analytics

Call For Papers

Venue: Marriott Marquis, San Francisco
Speaker proposal deadline: November 9, 2012
Speakers will be notified by: December 12, 2012

Join Text Analytics World to share how text analytics delivers a business impact for your organization. Text Analytics World is a full spectrum conference that covers all aspects of text analytics including business value and new methods/techniques, covering a wide range of industries large and small, and exploring the full range of vendor solutions and types of text analytics deployments.

Text Analytics is a young emerging field that employs a broad set of technologies, techniques, and methods for extracting value from unstructured and semi-structured text, and is used in a wide variety of applications and in conjunction with multiple other technologies.

There are five major areas of text analytics that we will explore:

1. Big Data – Including integration of text analytics and predictive analytics – converting text into data and enhancing text mining applications, decision support, topic discovery, predictive modeling, and more
2. Social Media – Including sentiment analysis, voice of the customer, and other new social applications
3.Enterprise Applications – Including enterprise search and search based applications, knowledge management (collaboration, expertise location, advanced knowledgebases), content management, and other productivity applications
4.Intelligence Applications – Including business intelligence, customer intelligence, security, fraud detection, survey analysis, and more
5.Knowledge Organization – Including categorization techniques, noun phrase extraction approaches, taxonomy development and applications, semantic web and semantic technologies, and new knowledge models

This leading event provides the means for people in fields traditionally separate and siloed to communicate and learn from one another – discovering how much they can gain from an interdisciplinary collaboration.
Share Your Experience

Text Analytics World provides speakers the opportunity to share their experiences, ideas, and new directions in this exciting and fast growing area – and to learn from the experiences of others. Speaking at the Text Analytics World offers a variety of benefits including the chance to share your visions and experiences and thereby increasing your organization or individual’s standing and credibility from the exposure among your industry peers.

We are looking first and foremost for presentations such as:

Case studies – what worked and what didn’t work
How-to’s – including both technical and business methods and obstacles
Real world applications – how to build them and how to get business value from them
Research results – and why they matter – new approaches and/or potential new applications
Use your imagination – surprise us with new ideas or describe how your new initiative transformed your organization

We will be aiming for a good mix of educational presentations, case studies, workshops, and expert panels. The presentations will be longer than in past years – likely 30 or 45 minutes.

Please join us and enjoy the opportunity to share insights and information with a wide variety of people doing exciting new things with text analytics. Hear practical advice and new ideas, technical tools and trends, business strategies and implementation lessons learned.

Here are some sample topics, but don’t let that limit your imagination:

Text Analytics and Mining Big Data
Business-Rule Discovery in Text Mining
How Big Social Data is Impacting Business
Text Mining and Compliance Applications
Advanced Twitter Applications: Stock Market to Politics
Beyond Sentiment Analysis – Understanding Customer’s Behavior
New Approaches in Voice of the Customer Applications
Using Real Voice for Voice of the Customer
Capturing Cognitive Science Insights in Social Media Analytics
Text Analytics for Social Media
Using the Cloud for Content Analytics
New Methods for Detecting Spam and Other Abuses in Social Media
Text Analytics and Enterprise Search
New Approaches in Text Analytics – Ensemble Models and More
Using Speech and Text Analytics in Online Ad Campaigns
Social Media Mining for Customer Insight and Competitive Intelligence
Building a Corporate Taxonomy with Text Mining and Text Analytics Tools
Designing Taxonomies for Text Analytics Applications
Leveraging Text Analytics for Faceted Search
Text Analytics Platform for Expertise Location
Building a KnowledgeBase with Auto-categorization
Text Analytics and Enhancing Taxonomy / Folksonomy in SharePoint 2010
Semantic Wikis and Applications
Ontology Based Metadata for Faceted Navigation
Semantically Enabled Consumer Intelligence
Semantic Search Applications

To submit visit:

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