A comprehensive survey of arabic sentiment analysis
M Al-Ayyoub, AA Khamaiseh, Y Jararweh… - Information processing & …, 2019 - Elsevier
Sentiment analysis (SA) is a continuing field of research that lies at the intersection of many
fields such as data mining, natural language processing and machine learning. It is …
fields such as data mining, natural language processing and machine learning. It is …
A survey of opinion mining in Arabic: A comprehensive system perspective covering challenges and advances in tools, resources, models, applications, and …
Opinion-mining or sentiment analysis continues to gain interest in industry and academics.
While there has been significant progress in develo** models for sentiment analysis, the …
While there has been significant progress in develo** models for sentiment analysis, the …
SemEval-2017 task 4: Sentiment analysis in Twitter
This paper describes the fifth year of the Sentiment Analysis in Twitter task. SemEval-2017
Task 4 continues with a rerun of the subtasks of SemEval-2016 Task 4, which include …
Task 4 continues with a rerun of the subtasks of SemEval-2016 Task 4, which include …
A comparative study of effective approaches for Arabic sentiment analysis
Sentiment analysis (SA) is a natural language processing (NLP) application that aims to
analyse and identify sentiment within a piece of text. Arabic SA started to receive more …
analyse and identify sentiment within a piece of text. Arabic SA started to receive more …
Mazajak: An online Arabic sentiment analyser
Sentiment analysis (SA) is one of the most useful natural language processing applications.
Literature is flooding with many papers and systems addressing this task, but most of the …
Literature is flooding with many papers and systems addressing this task, but most of the …
A deep learning-based approach for multi-label emotion classification in tweets
Currently, people use online social media such as Twitter or Facebook to share their
emotions and thoughts. Detecting and analyzing the emotions expressed in social media …
emotions and thoughts. Detecting and analyzing the emotions expressed in social media …
A closer look at classification evaluation metrics and a critical reflection of common evaluation practice
J Opitz - Transactions of the Association for Computational …, 2024 - direct.mit.edu
Classification systems are evaluated in a countless number of papers. However, we find that
evaluation practice is often nebulous. Frequently, metrics are selected without arguments …
evaluation practice is often nebulous. Frequently, metrics are selected without arguments …
On the evaluation and combination of state-of-the-art features in Twitter sentiment analysis
Sentiment analysis of short informal texts, such as tweets, remains a challenging task due to
their particular characteristics. Much effort has been made in the literature of Twitter …
their particular characteristics. Much effort has been made in the literature of Twitter …
EMOCOV: Machine learning for emotion detection, analysis and visualization using COVID-19 tweets
The adversarial impact of the Covid-19 pandemic has created a health crisis globally all
over the world. This unprecedented crisis forced people to lockdown and changed almost …
over the world. This unprecedented crisis forced people to lockdown and changed almost …
Character level embedding with deep convolutional neural network for text normalization of unstructured data for Twitter sentiment analysis
On social media platforms such as Twitter and Facebook, people express their views,
arguments, and emotions of many events in daily life. Twitter is an international …
arguments, and emotions of many events in daily life. Twitter is an international …