About Conference
This conference is organized by UNICOM and Indian Institute of Management Calcutta. Sentiment Analysis applies machine learning and makes a rapid assessment of the sentiments expressed in news releases. This conference addresses and explains, how multiple sources of information are aggregated to construct Market Sentiments, such as:
- News Wires
- Macro-economic Announcements
- Social Media
- Microblogs/Twitter
- Online (search) Information e.g. Google Trends
Panel Session 2- New Paradigms for Sentiment Analysis Applied to Finance
Date
11 March 2016
Time
12:30 - 13:00 SGT
Rajib Ranjan Borah
Rajib Ranjan Borah is co-Founder and Director of iRageCapital Advisory Private Limited, and QuantInsti Quantitative Learning Private Limited. At iRage, Rajib designs High Frequency Trading Strategies for South East Asian exchanges; at QuantInsti, he works with exchanges & other institutions to design education programs, as well as managing a 100-hour online educational program on algorithmic trading. Prior to iRage, Rajib worked with leading HFT firm Optiver – contributing significant volumes in all major US & European exchanges.
Previously, as a strategy consultant, Rajib assisted a consortium to start with a national commodity derivatives exchange. He interned with Bloomberg (research) in New York & with Solutia’s EMEA strategy HQ in Belgium. A national Olympiad finalist, Rajib has twice represented India at the World Puzzle Championships.
Behavioural Models & Sentiment Analysis Applied to Finance 2015, 5th Annual Conference in London
5th annual conference on ‘Behavioural Models & Sentiment Analysis Applied to Finance’ was organized on 15-16 July 2015 by UNICOM Seminars Ltd. It focused on the application of Sentiment Analysis to the respective models of trading, fund management and risk control. Specialists in the domain presented their research results, case studies and technology overviews. In particular the topic of Algorithmic Trading was addressed. Special features of that year’s conference were the inclusion of Social Media data (Twitter, blogs, Google Trends, online searches); how trustworthy they are and how they influence market sentiment, sentiment analysis for multiple asset classes.
More pics of the event can be seen on our Facebook Page.
