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Capturing Global Mood Levels using Blog Posts
| Venue: | in AAAI Symposium on Computational Approaches to Analysing Weblogs (AAAICAAW) (2006 |
| Citations: | 53 - 2 self |
BibTeX
@INPROCEEDINGS{Mishne_capturingglobal,
author = {Gilad Mishne and Maarten De Rijke},
title = {Capturing Global Mood Levels using Blog Posts},
booktitle = {in AAAI Symposium on Computational Approaches to Analysing Weblogs (AAAICAAW) (2006},
year = {},
pages = {145--152}
}
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Abstract
The personal, diary-like nature of blogs prompts many bloggers to indicate their mood at the time of posting. Aggregating these indications over a large amount of bloggers gives a “blogosphere state-of-mind ” for each point in time: the intensity of different moods among bloggers at that time. In this paper, we address the task of estimating this state-of-mind from the text written by bloggers. To this end, we build models that predict the levels of various moods according to the language used by bloggers at a given time; our models show high correlation with the moods actually measured, and substantially outperform a baseline.
