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20172024
most citedA review of sentiment analysis research in Arabic language

228 citations · 562 across the 34 of their papers we have counts for

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Showing 2019Show all

10 papers · 1 filter

cs.CY2019

Suicidal Ideation Detection: A Review of Machine Learning Methods and Applications

Shaoxiong Ji, Shirui Pan, Xue Li +3

Suicide is a critical issue in modern society. Early detection and prevention of suicide attempts should be addressed to save people's life. Current suicidal ideation detection met…

cs.LG2019

Recent Trends in Deep Learning Based Personality Detection

Yash Mehta, Navonil Majumder, Alexander Gelbukh +1

Recently, the automatic prediction of personality traits has received a lot of attention. Specifically, personality trait prediction from multimodal data has emerged as a hot topic…

cs.CL2019

Business Taxonomy Construction Using Concept-Level Hierarchical Clustering

Haodong Bai, Frank Z. Xing, Erik Cambria +1

Business taxonomies are indispensable tools for investors to do equity research and make professional decisions. However, to identify the structure of industry sectors in an emergi…

cs.CL201930 cited

Towards Scalable and Reliable Capsule Networks for Challenging NLP Applications

Wei Zhao, Haiyun Peng, Steffen Eger +2

Obstacles hindering the development of capsule networks for challenging NLP applications include poor scalability to large output spaces and less reliable routing processes. In thi…

cs.HC2019

Can a Humanoid Robot be part of the Organizational Workforce? A User Study Leveraging Sentiment Analysis

Nidhi Mishra, Manoj Ramanathan, Ranjan Satapathy +2

Hiring robots for the workplaces is a challenging task as robots have to cater to customer demands, follow organizational protocols and behave with social etiquette. In this study,…

cs.CL2019

PhonSenticNet: A Cognitive Approach to Microtext Normalization for Concept-Level Sentiment Analysis

Ranjan Satapathy, Aalind Singh, Erik Cambria

With the current upsurge in the usage of social media platforms, the trend of using short text (microtext) in place of standard words has seen a significant rise. The usage of micr…