Machine learning algorithms for social media analysis: A survey
Social Media (SM) are the most widespread and rapid data generation applications on the
Internet increase the study of these data. However, the efficient processing of such massive …
Internet increase the study of these data. However, the efficient processing of such massive …
[HTML][HTML] A recent overview of the state-of-the-art elements of text classification
MM Mirończuk, J Protasiewicz - Expert Systems with Applications, 2018 - Elsevier
The aim of this study is to provide an overview the state-of-the-art elements of text
classification. For this purpose, we first select and investigate the primary and recent studies …
classification. For this purpose, we first select and investigate the primary and recent studies …
[HTML][HTML] A transformer-based approach to irony and sarcasm detection
RA Potamias, G Siolas, AG Stafylopatis - Neural Computing and …, 2020 - Springer
Figurative language (FL) seems ubiquitous in all social media discussion forums and chats,
posing extra challenges to sentiment analysis endeavors. Identification of FL schemas in …
posing extra challenges to sentiment analysis endeavors. Identification of FL schemas in …
A new direction in social network analysis: Online social network analysis problems and applications
The use of online social networks has made significant progress in recent years as the use
of the Internet has become widespread worldwide as the technological infrastructure and the …
of the Internet has become widespread worldwide as the technological infrastructure and the …
Automatic sarcasm detection: A survey
Automatic sarcasm detection is the task of predicting sarcasm in text. This is a crucial step to
sentiment analysis, considering prevalence and challenges of sarcasm in sentiment-bearing …
sentiment analysis, considering prevalence and challenges of sarcasm in sentiment-bearing …
[HTML][HTML] A review of semi-supervised learning for text classification
JM Duarte, L Berton - Artificial intelligence review, 2023 - Springer
A huge amount of data is generated daily leading to big data challenges. One of them is
related to text mining, especially text classification. To perform this task we usually need a …
related to text mining, especially text classification. To perform this task we usually need a …
An effective sarcasm detection approach based on sentimental context and individual expression habits
Sarcasm is common in social media, and people use it to express their opinions with
stronger emotions indirectly. Although it belongs to a branch of sentiment analysis …
stronger emotions indirectly. Although it belongs to a branch of sentiment analysis …
A survey of figurative language and its computational detection in online social networks
The frequent usage of figurative language on online social networks, especially on Twitter,
has the potential to mislead traditional sentiment analysis and recommender systems. Due …
has the potential to mislead traditional sentiment analysis and recommender systems. Due …
[PDF][PDF] Analysis and classification of Arabic newspapers' Facebook pages using text mining techniques
Text mining and sentiment analysis have been the focus of research due to the increasing
availability of opinion data on social networking websites. Current researches dealing with …
availability of opinion data on social networking websites. Current researches dealing with …
A novel automatic satire and irony detection using ensembled feature selection and data mining
Figurative language detection has always been a difficult task for human beings while being
a more difficult proposition, even if automated using text and data mining. The available …
a more difficult proposition, even if automated using text and data mining. The available …