About Me

My name is Song Feng (冯松), a final year PhD student in Computer Science Department at Stony Brook University.

My advisor is Yejin Choi.

I am interested in natural language processing and general machine learning problems. My research has been focused on sentiment analysis, writing style analysis, semantics and deception detection.

  • Email me.
  • Publications

    - ConnotationWordNet: Learning Connotation over the Word+Sense Network.
    Jun Seok Kang, Song Feng, Leman Akoglu and Yejin Choi
    Association for Computational Linguistics (ACL 2014), long paper.
    - Success with Style: Using Writing Style to Predict the Success of Novels.
    Vikas Ashok, Song Feng, and Yejin Choi.
    Empirical Methods in Natural Language Processing (EMNLP 2013), long paper.
    - 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), long paper.
    - Distributional Footprints of Deceptive Product Reviews.
    Nominated for Best Paper Award!
    Song Feng, Longfei Xing, Anupam Gogar and Yejin Choi.
    International AAAI Conference on WebBlogs and Social Media (ICWSM 2012), long paper.
    - Characterizing Stylistic Elements in Syntactic Structure.
    Song Feng, Ritwik Banerjee and Yejin Choi.
    Empirical Methods in Natural Language Processing (EMNLP 2012), long paper.
    - Syntactic Stylometry for Deception Detection.
    Song Feng, Ritwik Banerjee and Yejin Choi.
    Association for Computational Linguistics (ACL 2012), short paper.
    - Learning General Connotation of Words using Graph-based Algorithms.
    Song Feng, Ritwik Bose, and Yejin Choi.
    Empirical Methods in Natural Language Processing (EMNLP 2011), long paper.
    [pdf]
    - Hearsay: a new generation context-driven multi-modal assistive web browser.
    Y. Borodin, F. Ahmed, M.Islam, Y. Puzis, V. Melnyk, Song Feng, I. V. Ramakrishnan, G. Dausch.
    World Wide Web Conference (WWW 2010), demo paper.
    [pdf]