@inproceedings{2954bf44fddf4f429384585ee5ce94e9,
title = "Sentiment identification by incorporating syntax, semantics and context information",
abstract = "This paper proposes a method based on conditional random fields to incorporate sentence structure (syntax and semantics) and context information to identify sentiments of sentences within a document. It also proposes and evaluates two different active learning strategies for labeling sentiment data. The experiments with the proposed approach demonstrate a 5-15% improvement in accuracy on Amazon customer reviews compared to existing supervised learning and rule-based methods.",
keywords = "active learning, crf, semantic, sentiment, syntax",
author = "Kunpeng Zhang and Yusheng Xie and Yu Cheng and Daniel Honbo and Downey, {Douglas C} and Ankit Agrawal and Wei-Keng Liao and Choudhary, {Alok Nidhi}",
year = "2012",
doi = "10.1145/2348283.2348510",
language = "English (US)",
isbn = "9781450316583",
series = "SIGIR'12 - Proceedings of the International ACM SIGIR Conference on Research and Development in Information Retrieval",
pages = "1143--1144",
booktitle = "SIGIR'12 - Proceedings of the International ACM SIGIR Conference on Research and Development in Information Retrieval",
note = "35th Annual ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2012 ; Conference date: 12-08-2012 Through 16-08-2012",
}