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Post 13
Working on the sentiment of text
01-May-2009
It's been quite a long time (almost 3 months) since I last blogged.
I have been working with Dr. Alias on an article for this year's
SEPLN conference
San Sebastian 2009.
Our work deals with positive/negative text classification from
sentence-level annotations of emotions regarding models of affect.
This paper presents a text classifier to automatically tag the sentiment
of a text according to the emotion that is being conveyed.
This system has a sequential framework composed of Natural Language
Processing modules for feature
extraction and a binary classifier for decision making
between positive and negative
categories. In order to train the classification system the
Semeval 2007 dataset is of
use, which is composed of sentences emotionally annotated,
after being mapped into
a model of affect. The resulting scheme stands a first level
of classification in order
to achieve a complete emotional text classifier.
The system we have obtained is indeed an evolution of the EmoLib
library. As soon as we get feedback from the referees of the
conference I will post the future work for the project.
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