Visual Analytics

My intellectual journey

I was lazy and news-addict that I wanted news story that suits my interest flows towards me. I started with recommender system but soon found that it cannot deal with the delicacy of human language. I studied visual analytics to combine human intelligence with machine learning for the text analysis. But still found it unsatisfactory. Now I am studying grounded language which lead to artificial general intelligence research.

ConceptVector: Text Visual Analytics via Interactive Lexicon Building Using Word Embedding

Central to many text analysis methods is the notion of a concept: a set of semantically related keywords characterizing a specific object, phenomenon, or theme. Advances in word embedding allow building a concept from a small set of seed terms. …

Supporting comment moderators in identifying high quality online news comments

Online comments submitted by readers of news articles can provide valuable feedback and critique, personal views and perspectives, and opportunities for discussion. The varying quality of these comments necessitates that publishers remove the low …

Parallelspaces: Simultaneous Exploration of Feature and Data for Hypothesis Generation

We present ParallelSpaces, a novel method to explore bipartite datasets in both feature and data dimensions. This dyadic data is displayed as weighted bipartite graphs using scatterplots in two separated visual spaces, where each entity is positioned …