About Me

I am Song Feng, a fifth year PhD student in Computer Science Department at Stony Brook University.

My adviser is Prof. Yejin Choi.

I am interested in natural language processing and general machine learning problems. My current research is mainly focused on sentiment analysis, stylometry analysis, deception detection.

Here is my CV.

Publications


Connotation Lexicon: A Dash of Sentiment Beneath the Surface Meaning.
Song Feng, Jun Seok Kang, Polina Kuznetsova and Yejin Choi.
Association for Computational Linguistics (ACL), 2013.
[bib] [pdf] [slides] [data]


Characterizing Stylistic Elements in Syntactic.
Song Feng, Ritwik Banerjee and Yejin Choi.
Empirical Methods in Natural Language Processing (EMNLP), 2012.
[bib] [pdf] [slides] [code]


Syntactic Stylometry for Deception Detection.
Song Feng, Ritwik Banerjee and Yejin Choi.
Association for Computational Linguistics (ACL), 2012. short paper
[bib] [pdf] [slides]


Distributional Footprints of Deceptive Product Reviews.
Nominated for a best paper award! Featured in MIT's Technology Review !

Song Feng, Longfei Xing, Anupam Gogar and Yejin Choi.
International AAAI Conference on WebBlogs and Social Media(ICWSM), 2012.
[bib] [pdf] [slides]


Learning General Connotation of Words using Graph-based Algorithms.
Song Feng, Ritwik Bose, and Yejin Choi.
Empirical Methods in Natural Language Processing (EMNLP), 2011.
[bib] [pdf] [slides]


Hearsay: a new generation context-driven multi-modal assistive web browser.
Y. Borodin, F. Ahmed, M.Islam, Y. Puzis, V. Melnyk, S. Feng, I. V. Ramakrishnan, G. Dausch.
World Wide Web Conference (WWW), 2010.
[bib] [pdf]