TY  - JOUR
A1  - Taboada, Maite
A1  - Brooke, Julian
A1  - Tofiloski, Milan
A1  - Voll, Kimberly
A1  - Stede, Manfred
T1  - Lexicon-Based methods for sentiment analysis
T2  - Computational linguistics
N2  - We present a lexicon-based approach to extracting sentiment from text. The Semantic Orientation CALculator (SO-CAL) uses dictionaries of words annotated with their semantic orientation (polarity and strength), and incorporates intensification and negation. SO-CAL is applied to the polarity classification task, the process of assigning a positive or negative label to a text that captures the text's opinion towards its main subject matter. We show that SO-CAL's performance is consistent across domains and on completely unseen data. Additionally, we describe the process of dictionary creation, and our use of Mechanical Turk to check dictionaries for consistency and reliability.
Y1  - 2011
UR  - https://publishup.uni-potsdam.de/frontdoor/index/index/docId/36820
SN  - 0891-2017
VL  - 37
IS  - 2
SP  - 267
EP  - 307
PB  - MIT Press
CY  - Cambridge
ER  -