TY - GEN
T1 - Mixture of Topic-Based Distributional Semantic and Affective Models
AU - Christopoulou, Fenia
AU - Briakou, Eleftheria
AU - Iosif, Elias
AU - Potamianos, Alexandros
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/4/9
Y1 - 2018/4/9
N2 - Typically, Distributional Semantic Models (DSMs) estimate semantic similarity between words using a single-model, where the multiple senses of polysemous words are conflated in a single representation. Similarly, in textual affective analysis tasks, ambiguous words are usually not treated differently when estimating word affective scores. In this work, a semantic mixture model is proposed enabling the combination of word similarity scores estimated across multiple topic-specific DSMs (TDSMs). Based on the assumption that semantic similarity implies affective similarity, we extend this model to perform sentence-level affect estimation. The proposed model outperforms the baseline approach achieving state-of-the-art results for semantic similarity estimation and sentence-level polarity detection.
AB - Typically, Distributional Semantic Models (DSMs) estimate semantic similarity between words using a single-model, where the multiple senses of polysemous words are conflated in a single representation. Similarly, in textual affective analysis tasks, ambiguous words are usually not treated differently when estimating word affective scores. In this work, a semantic mixture model is proposed enabling the combination of word similarity scores estimated across multiple topic-specific DSMs (TDSMs). Based on the assumption that semantic similarity implies affective similarity, we extend this model to perform sentence-level affect estimation. The proposed model outperforms the baseline approach achieving state-of-the-art results for semantic similarity estimation and sentence-level polarity detection.
KW - Affective Models
KW - Distributional Semantic Models
KW - Semantic Mixture Models
KW - Semantic Similarity
KW - Topic Modeling
UR - http://www.scopus.com/inward/record.url?scp=85048442325&partnerID=8YFLogxK
U2 - 10.1109/ICSC.2018.00036
DO - 10.1109/ICSC.2018.00036
M3 - Conference contribution
AN - SCOPUS:85048442325
T3 - Proceedings - 12th IEEE International Conference on Semantic Computing, ICSC 2018
SP - 203
EP - 210
BT - Proceedings - 12th IEEE International Conference on Semantic Computing, ICSC 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 12th IEEE International Conference on Semantic Computing, ICSC 2018
Y2 - 31 January 2018 through 2 February 2018
ER -