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AVA: Adjective-Verb-Adverb Combinations for Sentiment Analysis
July/August 2008 (vol. 23 no. 4)
pp. 43-50
ASCII Text
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V.S. Subrahmanian, Diego Reforgiato, "AVA: Adjective-Verb-Adverb Combinations for Sentiment Analysis," IEEE Intelligent Systems, vol. 23, no. 4, pp. 43-50, July/August, 2008.
 
 
BibTex
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@article{ 10.1109/MIS.2008.57,
author = {V.S. Subrahmanian and Diego Reforgiato},
title = {AVA: Adjective-Verb-Adverb Combinations for Sentiment Analysis},
journal ={IEEE Intelligent Systems},
volume = {23},
number = {4},
issn = {1541-1672},
year = {2008},
pages = {43-50},
doi = {http://doi.ieeecomputersociety.org/10.1109/MIS.2008.57},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - MGZN
JO - IEEE Intelligent Systems
TI - AVA: Adjective-Verb-Adverb Combinations for Sentiment Analysis
IS - 4
SN - 1541-1672
SP43
EP50
EPD - 43-50
A1 - V.S. Subrahmanian,
A1 - Diego Reforgiato,
PY - 2008
KW - opinion analysis
KW - sentiment analysis
KW - computational cultural dynamics
VL - 23
JA - IEEE Intelligent Systems
ER -
 
V.S. Subrahmanian, University of Maryland
Diego Reforgiato, University of Maryland
Most research on determining the strength of subjective expressions in a sentence or document uses single, specific parts of speech such as adjectives, adverbs, or verbs. To date, almost no research covers the development of a single comprehensive framework in which we can analyze sentiment that takes all three into account. The authors propose the AVA (adjective verb adverb) framework for identifying opinions on any given topic. In AVA, a user can select any topic t of interest and any document d. AVA will return a score that d expresses topic t. The score is expressed on a –1 (maximally negative) to +1 (maximally positive) scale.

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Index Terms:
opinion analysis, sentiment analysis, computational cultural dynamics
Citation:
V.S. Subrahmanian, Diego Reforgiato, "AVA: Adjective-Verb-Adverb Combinations for Sentiment Analysis," IEEE Intelligent Systems, vol. 23, no. 4, pp. 43-50, July-Aug. 2008, doi:10.1109/MIS.2008.57
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