Workshop on Affective Content Analysis (AffCon 2018) at AAAI 2018

The advent of Web 2.0 has enabled a host of platforms for the creation and dissemination of content, which offers unique opportunities to understand users’ opinions, intentions and expression through the content they publish and/or consume. Affect analysis on content, specifically text, to understand the author/reader is a upcoming research area, with work that spans multiple... Continue Reading →

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Projects in Focus

Collaboration with Adobe Research India - Affect mining and optimization for marketing content, and behavioral profiling of users. When I was at Adobe, my research mostly focused on automated content analysis for analytics and performance reporting in digital marketing scenarios. My background in natural language processing and linguistics makes me very familiar with the kind of... Continue Reading →

The 2nd BIRNDL Workshop at SIGIR 2017!

The 2nd BIRNDL workshop and the 3rd Microsoft Research Asia CL-SciSumm Shared Task at SIGIR 2017 will focus on the problems in Big Science - the explosion in the production of scientific literature and the growth of scientific enterprise1. This document comprises the full workshop proposal and call for papers. This workshop is a follow-up to... Continue Reading →

The WKWSCI Sentiment Lexicon

The WKWSCI Sentiment Lexicon by Christopher S. G. Khoo, Sathik Basha Johnkhan and Jin-Cheon Na is based on the 6of12dict lexicon, and currently covers adjectives, adverbs and verbs. The words were manually coded with a value on a 7-point sentiment strength scale. The effectiveness of the four sentiment lexicons for sentiment categorization at the document-level and sentence-level was evaluated using an Amazon product review dataset.... Continue Reading →

Social Media Analytics for Elections

A major project I have been working on recently, is the analysis of social media conversations around national elections in Asian societies. My collaborators are academicians at University of California, Davis, and City University of Hong Kong. We aim to fill the present research gaps in political opinion mining from social media, and generate robust... Continue Reading →

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