A review of affective computing: From unimodal analysis to multimodal fusion

S Poria, E Cambria, R Bajpai, A Hussain - Information fusion, 2017 - Elsevier
Affective computing is an emerging interdisciplinary research field bringing together
researchers and practitioners from various fields, ranging from artificial intelligence, natural …

Jumping NLP curves: A review of natural language processing research

E Cambria, B White - IEEE Computational intelligence …, 2014 - ieeexplore.ieee.org
Natural language processing (NLP) is a theory-motivated range of computational techniques
for the automatic analysis and representation of human language. NLP research has …

New avenues in opinion mining and sentiment analysis

E Cambria, B Schuller, Y Xia… - IEEE Intelligent systems, 2013 - ieeexplore.ieee.org
New Avenues in Opinion Mining and Sentiment Analysis Page 1 New Avenues in Opinion
Mining and Sentiment Analysis Erik Cambria, Member, IEEE, Björn Schuller, Member, IEEE …

SenticNet 3: a common and common-sense knowledge base for cognition-driven sentiment analysis

E Cambria, D Olsher, D Rajagopal - … of the AAAI conference on artificial …, 2014 - ojs.aaai.org
SenticNet is a publicly available semantic and affective resource for concept-level sentiment
analysis. Rather than using graph-mining and dimensionality-reduction techniques …

Measuring organizational legitimacy in social media: Assessing citizens' judgments with sentiment analysis

M Etter, E Colleoni, L Illia, K Meggiorin… - Business & …, 2018 - journals.sagepub.com
Conventional quantitative methods for the measurement of organizational legitimacy
consider mainly three sources that make judgments about organizations visible: news …

Wearable-based affect recognition—A review

P Schmidt, A Reiss, R Dürichen, K Van Laerhoven - Sensors, 2019 - mdpi.com
Affect recognition is an interdisciplinary research field bringing together researchers from
natural and social sciences. Affect recognition research aims to detect the affective state of a …

Ensemble application of convolutional neural networks and multiple kernel learning for multimodal sentiment analysis

S Poria, H Peng, A Hussain, N Howard, E Cambria - Neurocomputing, 2017 - Elsevier
The advent of the Social Web has enabled anyone with an Internet connection to easily
create and share their ideas, opinions and content with millions of other people around the …

Analytical mapping of opinion mining and sentiment analysis research during 2000–2015

R Piryani, D Madhavi, VK Singh - Information Processing & Management, 2017 - Elsevier
The new transformed read-write Web has resulted in a rapid growth of user generated
content on the Web resulting into a huge volume of unstructured data. A substantial part of …

A concept-level approach to the analysis of online review helpfulness

A Qazi, KBS Syed, RG Raj, E Cambria, M Tahir… - Computers in Human …, 2016 - Elsevier
Helpfulness of online reviews serves multiple needs of different Web users. Several types of
factors can drive reviews' helpfulness. This study focuses on uninvestigated factors by …

Semi-supervised learning for big social data analysis

A Hussain, E Cambria - Neurocomputing, 2018 - Elsevier
In an era of social media and connectivity, web users are becoming increasingly
enthusiastic about interacting, sharing, and working together through online collaborative …