The emergence of social media data and sentiment analysis in election prediction
This work presents and assesses the power of various volumetric, sentiment, and social
network approaches to predict crucial decisions from online social media platforms. The …
network approaches to predict crucial decisions from online social media platforms. The …
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 hybrid CNN-LSTM model for improving accuracy of movie reviews sentiment analysis
Nowadays, social media has become a tremendous source of acquiring user's opinions.
With the advancement of technology and sophistication of the internet, a huge amount of …
With the advancement of technology and sophistication of the internet, a huge amount of …
Twitter sentiment analysis via bi-sense emoji embedding and attention-based LSTM
Sentiment analysis on large-scale social media data is important to bridge the gaps between
social media contents and real world activities including political election prediction …
social media contents and real world activities including political election prediction …
Arabic sentiment analysis: A systematic literature review
With the recently grown attention from different research communities for opinion mining,
there is an evolving body of work on Arabic Sentiment Analysis (ASA). This paper introduces …
there is an evolving body of work on Arabic Sentiment Analysis (ASA). This paper introduces …
Sentiment analysis with machine learning methods on social media
MS Basarslan, F Kayaalp - 2020 - torrossa.com
Thanks to the Internet, the developments in communication technologies have brought
people closer together in recent years. The slow communication process of the past, using …
people closer together in recent years. The slow communication process of the past, using …
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 developing models for sentiment analysis, the …
While there has been significant progress in developing models for sentiment analysis, the …
Analyzing political sentiment using Twitter data
Today microblogging has become a very common platform for exchanging opinion among
us. Many users exchange their thoughts on various aspects of their activity. Consequently …
us. Many users exchange their thoughts on various aspects of their activity. Consequently …
Investigating the impact of pre-processing techniques and pre-trained word embeddings in detecting Arabic health information on social media
This paper presents a comprehensive evaluation of data pre-processing and word
embedding techniques in the context of Arabic document classification in the domain of …
embedding techniques in the context of Arabic document classification in the domain of …
[HTML][HTML] Leveraging Arabic sentiment classification using an enhanced CNN-LSTM approach and effective Arabic text preparation
The high variety in the forms of the Arabic words creates significant complexity related
challenges in Natural Language Processing (NLP) tasks for Arabic text. These challenges …
challenges in Natural Language Processing (NLP) tasks for Arabic text. These challenges …