TY - JOUR
T1 - Bipolar rating scales
T2 - A survey and novel correlation measures based on nonlinear bipolar scoring functions
AU - Batyrshin, Ildar
AU - Monroy-Tenorio, Fernando
AU - Gelbukh, Alexander
AU - Villa-Vargas, Luis Alfonso
AU - Solovyev, Valery
AU - Kubysheva, Nailya
N1 - Publisher Copyright:
© 2017, Budapest Tech Polytechnical Institution. All rights reserved.
PY - 2017
Y1 - 2017
N2 - A bipolar rating scale is a linearly ordered set with symmetry between elements considered as negative and positive categories. First, we present a survey of bipolar rating scales used in psychology, sociology, medicine, recommender systems, opinion mining, and sentiment analysis. We discuss different particular cases of bipolar scales and, in particular, typical structures of bipolar scales with verbal labels that can be used for construction of bipolar rating scales. Next, we introduce the concept of bipolar scoring function preserving linear ordering and the symmetry of bipolar scales, study its properties, and propose methods for construction of bipolar scoring functions. We show that Pearson’s correlation coefficient often used for analysis of relationship between profiles of ratings in recommender systems can be misleading if the rating scales are bipolar. Basing on the general methods of construction of association measures, we propose new correlation measures on bipolar scales free from the drawbacks of Pearson’s correlation coefficient. Our correlation measures can be used in recommender systems, sentiment analysis and opinion mining for analysis of possible relationship between opinions of users and their ratings of items.
AB - A bipolar rating scale is a linearly ordered set with symmetry between elements considered as negative and positive categories. First, we present a survey of bipolar rating scales used in psychology, sociology, medicine, recommender systems, opinion mining, and sentiment analysis. We discuss different particular cases of bipolar scales and, in particular, typical structures of bipolar scales with verbal labels that can be used for construction of bipolar rating scales. Next, we introduce the concept of bipolar scoring function preserving linear ordering and the symmetry of bipolar scales, study its properties, and propose methods for construction of bipolar scoring functions. We show that Pearson’s correlation coefficient often used for analysis of relationship between profiles of ratings in recommender systems can be misleading if the rating scales are bipolar. Basing on the general methods of construction of association measures, we propose new correlation measures on bipolar scales free from the drawbacks of Pearson’s correlation coefficient. Our correlation measures can be used in recommender systems, sentiment analysis and opinion mining for analysis of possible relationship between opinions of users and their ratings of items.
KW - Association measure
KW - Bipolar scale
KW - Correlation
KW - Opinion mining
KW - Rating scale
KW - Recommender system
KW - Sentient analysis
UR - http://www.scopus.com/inward/record.url?scp=85035002089&partnerID=8YFLogxK
U2 - 10.12700/APH.14.3.2017.3.3
DO - 10.12700/APH.14.3.2017.3.3
M3 - Artículo
SN - 1785-8860
VL - 14
SP - 33
EP - 57
JO - Acta Polytechnica Hungarica
JF - Acta Polytechnica Hungarica
IS - 3
ER -