TY - JOUR AU - Raaijmakers, Stephan AU - Kraaij, Wessel PY - 2021/09/25 Y2 - 2024/03/29 TI - A Shallow Approach to Subjectivity Classification JF - Proceedings of the International AAAI Conference on Web and Social Media JA - ICWSM VL - 2 IS - 1 SE - Poster Papers DO - 10.1609/icwsm.v2i1.18658 UR - https://ojs.aaai.org/index.php/ICWSM/article/view/18658 SP - 216-217 AB - <p>We present a shallow linguistic approach to subjectivity classification. Using multinomial kernel machines, we demonstrate that a data representation based on counting character n-grams is able to improve on results previously attained on the MPQA corpus using word-based n-grams and syntactic information. We compare two types of string-based representations: key substring groups and character n-grams. We find that word-spanning character n-grams significantly reduce the bias of a classifier, and boost its accuracy.</p> ER -