2 code implementations • Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies 2011 • Andrew L. Maas, Raymond E. Daly, Peter T. Pham, Dan Huang, Andrew Y. Ng
We present a model that uses a mix of unsupervised and supervised techniques to learn word vectors capturing semantic term–document information as well as rich sentiment content.