A review of sentiment analysis research in Arabic language
Sentiment analysis is a task of natural language processing that has recently attracted
increasing attention. However, sentiment analysis research has mainly been carried out for …
increasing attention. However, sentiment analysis research has mainly been carried out for …
Machine learning and deep learning for sentiment analysis across languages: A survey
EM Mercha, H Benbrahim - Neurocomputing, 2023 - Elsevier
The inception and rapid growth of the Web, social media, and other online forums have
resulted in the continuous and rapid generation of opinionated textual data. Several real …
resulted in the continuous and rapid generation of opinionated textual data. Several real …
Ten years of sentic computing
Sentic computing is a multi-disciplinary approach to sentiment analysis at the crossroads
between affective computing and commonsense computing, which exploits both computer …
between affective computing and commonsense computing, which exploits both computer …
A survey of sentiment analysis in the Portuguese language
DA Pereira - Artificial Intelligence Review, 2021 - Springer
Sentiment analysis is an area of study that aims to develop computational methods and tools
to extract and classify the opinions and emotions expressed by people on social networks …
to extract and classify the opinions and emotions expressed by people on social networks …
Arabic question answering system: a survey
TH Alwaneen, AM Azmi, HA Aboalsamh… - Artificial Intelligence …, 2022 - Springer
Question answering is a subfield of information retrieval. It is a task of answering a question
posted in a natural language. A question answering system (QAS) may be considered a …
posted in a natural language. A question answering system (QAS) may be considered a …
A survey of reasoning with foundation models
Reasoning, a crucial ability for complex problem-solving, plays a pivotal role in various real-
world settings such as negotiation, medical diagnosis, and criminal investigation. It serves …
world settings such as negotiation, medical diagnosis, and criminal investigation. It serves …
Arabic fake news detection based on deep contextualized embedding models
Social media is becoming a source of news for many people due to its ease and freedom of
use. As a result, fake news has been spreading quickly and easily regardless of its …
use. As a result, fake news has been spreading quickly and easily regardless of its …
A deep learning sentiment analyser for social media comments in low-resource languages
During the pandemic, when people needed to physically distance, social media platforms
have been one of the outlets where people expressed their opinions, thoughts, sentiments …
have been one of the outlets where people expressed their opinions, thoughts, sentiments …
Square one bias in NLP: Towards a multi-dimensional exploration of the research manifold
The prototypical NLP experiment trains a standard architecture on labeled English data and
optimizes for accuracy, without accounting for other dimensions such as fairness …
optimizes for accuracy, without accounting for other dimensions such as fairness …
Target-level sentiment analysis for news articles
The rapid growth of social media, news sites, and blogs increases the opportunity to express
and share an opinion on the Internet. Researchers from different fields take advantage of …
and share an opinion on the Internet. Researchers from different fields take advantage of …