A Co-occurrence Based Personal Sense Approach to Opinion Mining. / Panicheva, P.; Cardiff, J.; Rosso, P.
1st Workshop on Opinion Mining and Sentiment Analysis (WOMSA), CAEPIA-TTIA Conference (2009). 2009. p. 205-212.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research
}
TY - GEN
T1 - A Co-occurrence Based Personal Sense Approach to Opinion Mining
AU - Panicheva, P.
AU - Cardiff, J.
AU - Rosso, P.
PY - 2009
Y1 - 2009
N2 - Recent years have seen increasing interest in analyzing the millions of texts published every year in blogs and forums. One of the applications attracting most attention is the automated gathering opinions of people on different products. In this paper, we elaborate a methodology for opinion mining and subjectivity analysis, based on the notion of personal sense. Our hypothesis is that the personal sense of the words that the author uses in a text is reflected their appraisal of a product described in the text. In this preliminary work, we describe a new methodology applied to the polarity classification task, and present and evaluate our the preliminary results.
AB - Recent years have seen increasing interest in analyzing the millions of texts published every year in blogs and forums. One of the applications attracting most attention is the automated gathering opinions of people on different products. In this paper, we elaborate a methodology for opinion mining and subjectivity analysis, based on the notion of personal sense. Our hypothesis is that the personal sense of the words that the author uses in a text is reflected their appraisal of a product described in the text. In this preliminary work, we describe a new methodology applied to the polarity classification task, and present and evaluate our the preliminary results.
KW - Opinion mining
KW - personal sense
KW - polarity classification.
M3 - Conference contribution
SP - 205
EP - 212
BT - 1st Workshop on Opinion Mining and Sentiment Analysis (WOMSA), CAEPIA-TTIA Conference (2009)
ER -
ID: 4687572