Sentimentor: Sentiment Analysis of Twitter Data

1st International Workshop on Sentiment Discovery from Affective Data (SDAD 2012)

James Spencer ; Gulden Uchyigit

Others  :  http://ceur-ws.org/Vol-917/SDAD2012_6_Spencer.pdf
PID  :  43174

来源: CEUR

【 摘 要 】

In this paper we present Sentimentor, a tool for sentiment analysis of Twitter data. Sentimentor utilises the naive Bayes Classifier to classify Tweets into positive, negative or objective sets. We present experimental evaluation of our dataset and classification results, our findings are not contridictory with existing work.