Publications: sentiment analysis

Clasenti: a class-specific sentiment analysis framework

Arabic text sentiment analysis suffers from low accuracy due to Arabic-specific challenges (e.g., limited resources, morphological complexity, and dialects) and general linguistic issues (e.g., fuzz

class-specific sentiment analysis framework
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A meta-framework for modeling the human reading process in sentiment analysis

This article introduces a sentiment analysis approach that adopts the way humans read, interpret, and extract sentiment from text. Our motivation builds on the assumption that human interpretation s

modeling human sentiment analysis
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StEduCov: an explored and benchmarked dataset on stance detection in tweets towards online education during COVID-19 pandemic

In this paper, we present StEduCov, an annotated dataset for the analysis of stances toward online education during the COVID-19 pandemic. StEduCov consists of 16,572 tweets gathered over 15 months,

StEduCov Stance detection Tweets Online education COVID-19 pandemic Dataset Benchmarking Social media analysis sentiment analysis Educational technology Pandemic impact Data exploration Public opinion Machine learning Natural language processing
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