SEMEVAL 2013

NRC-Canada: Building the State-of-the-Art in Sentiment Analysis of Tweets

SEMEVAL 2013 jennifervial/Sentiment-Analysis

In this paper, we describe how we created two state-of-the-art SVM classifiers, one to detect the sentiment of messages such as tweets and SMS (message-level task) and one to detect the sentiment of a term within a submissions stood first in both tasks on tweets, obtaining an F-score of 69. 02 in the message-level task and 88. 93 in the term-level task.

SENTIMENT ANALYSIS