activity
20152019
most citedNationality Classification Using Name Embeddings

25 citations · 60 across the 6 of their papers we have counts for

collaborators

6 papers

cs.SI2019★ 10 cited

The Secret Lives of Names? Name Embeddings from Social Media

Junting Ye, Steven Skiena

Your name tells a lot about you: your gender, ethnicity and so on. It has been shown that name embeddings are more effective in representing names than traditional substring featur…

cs.SI2019★ 8 cited

MediaRank: Computational Ranking of Online News Sources

Junting Ye, Steven Skiena

In the recent political climate, the topic of news quality has drawn attention both from the public and the academic communities. The growing distrust of traditional news media mak…

cs.CL2018★ 2 cited

Multi-view Models for Political Ideology Detection of News Articles

Vivek Kulkarni, Junting Ye, Steven Skiena +1

A news article's title, content and link structure often reveal its political ideology. However, most existing works on automatic political ideology detection only leverage textual…

cs.SI2017★ 25 cited

Nationality Classification Using Name Embeddings

Junting Ye, Shuchu Han, Yifan Hu +4

Nationality identification unlocks important demographic information, with many applications in biomedical and sociological research. Existing name-based nationality classifiers us…

cs.SI2016★ 14 cited

Temporal Opinion Spam Detection by Multivariate Indicative Signals

Junting Ye, Santhosh Kumar, Leman Akoglu

Online consumer reviews reflect the testimonials of real people, unlike advertisements. As such, they have critical impact on potential consumers, and indirectly on businesses. Acc…

cs.LG2015★ 1 cited

Robust Semi-Supervised Classification for Multi-Relational Graphs

Junting Ye, Leman Akoglu

Graph-regularized semi-supervised learning has been used effectively for classification when (i) instances are connected through a graph, and (ii) labeled data is scarce. If availa…