Data Analytics, particularly in the context of Big Data, has become the ‘Mantra’ for the new genre of Data Scientists. By applying analytics to structured and unstructured data and mining, that is, extracting items of information which are important for business planning and execution; enterprises are changing the way they plan and make business decisions. Given that many business decisions are influenced by behavioural biases, Sentiment Analysis represents another valuable source of information that aids business decisions and performance evaluation.’
This conference explores Data Analytics and Sentiment Analysis and their connections to business intelligence. It provides a platform to discuss how businesses can benefit from Data Analytics and Sentiment Analysis to aid decision making and thus respond to ‘market pull’. The programme includes talks from subject experts, case studies and opportunities for networking and discussion.’
The conference is characterised by a compact format: a single track, one-day event covering two important information sources for business intelligence. As a consequence, the event not only provides attendees with the opportunity to learn more with less time out of the office, but it also offers a rich networking experience.’
Topics To Be Covered
DATA ANALYTICS
Tools’
Machine learning
Logs analytics’
continuous intelligence’
predictive and prescriptive analytics’
open source
data visualisation’
SENTIMENT ANALYSIS
Foundations of Sentiment Analysis’
Text to Sentiment:’
Natural language processing (NLP)’
Machine Learning and Classifiers’
Sentiment Analysis in multiple domains:’
Retail sector’
Company probity’
Politics and governments.
