How to Overcome Tiredness: Estimating Topic-Mood Associations
Krisztian Balog and Maarten de Rijke
We address the task of associating moods with a given topic, using a large set of mood-annotated blog posts. We argue that a simple frequency-based baseline does not suffice as it fails to capture topic-dependence. Instead, we propose three models based on language modeling techniques to accomplish the topic-mood association task. Based on anecdotal evidence and other considerations, including complexity and efficiency, we identify a clearly preferred model.
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