activity
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 2020Show all

7 papers · 1 filter

cs.CL20205 cited

Improving Zero Shot Learning Baselines with Commonsense Knowledge

Abhinaba Roy, Deepanway Ghosal, Erik Cambria +3

Zero shot learning -- the problem of training and testing on a completely disjoint set of classes -- relies greatly on its ability to transfer knowledge from train classes to test…

cs.CL202052 cited

Personality Trait Detection Using Bagged SVM over BERT Word Embedding Ensembles

Amirmohammad Kazameini, Samin Fatehi, Yash Mehta +2

Recently, the automatic prediction of personality traits has received increasing attention and has emerged as a hot topic within the field of affective computing. In this work, we…

cs.CL2020228 cited

A review of sentiment analysis research in Arabic language

Oumaima Oueslati, Erik Cambria, Moez Ben HajHmida +1

Sentiment analysis is a task of natural language processing which has recently attracted increasing attention. However, sentiment analysis research has mainly been carried out for…

cs.MM2020

MuSe 2020 -- The First International Multimodal Sentiment Analysis in Real-life Media Challenge and Workshop

Lukas Stappen, Alice Baird, Georgios Rizos +9

Multimodal Sentiment Analysis in Real-life Media (MuSe) 2020 is a Challenge-based Workshop focusing on the tasks of sentiment recognition, as well as emotion-target engagement and…

cs.CL2020

Deep Learning Based Text Classification: A Comprehensive Review

Shervin Minaee, Nal Kalchbrenner, Erik Cambria +3

Deep learning based models have surpassed classical machine learning based approaches in various text classification tasks, including sentiment analysis, news categorization, quest…

cs.SI20201 cited

The Four Dimensions of Social Network Analysis: An Overview of Research Methods, Applications, and Software Tools

David Camacho, Àngel Panizo-LLedot, Gema Bello-Orgaz +2

Social network based applications have experienced exponential growth in recent years. One of the reasons for this rise is that this application domain offers a particularly fertil…