Understandable big data: a survey
This survey presents the concept of Big Data. Firstly, a definition and the features of Big Data
are given. Secondly, the different steps for Big Data data processing and the main problems …
are given. Secondly, the different steps for Big Data data processing and the main problems …
Multi-feature, multi-modal, and multi-source social event detection: A comprehensive survey
The tremendous growth of event dissemination over social networks makes it very
challenging to accurately discover and track exciting events, as well as their evolution and …
challenging to accurately discover and track exciting events, as well as their evolution and …
Tweeteval: Unified benchmark and comparative evaluation for tweet classification
The experimental landscape in natural language processing for social media is too
fragmented. Each year, new shared tasks and datasets are proposed, ranging from classics …
fragmented. Each year, new shared tasks and datasets are proposed, ranging from classics …
XLM-T: Multilingual language models in Twitter for sentiment analysis and beyond
Language models are ubiquitous in current NLP, and their multilingual capacity has recently
attracted considerable attention. However, current analyses have almost exclusively focused …
attracted considerable attention. However, current analyses have almost exclusively focused …
A survey of Twitter research: Data model, graph structure, sentiment analysis and attacks
Twitter is the third most popular worldwide Online Social Network (OSN) after Facebook and
Instagram. Compared to other OSNs, it has a simple data model and a straightforward data …
Instagram. Compared to other OSNs, it has a simple data model and a straightforward data …
Hate speech on twitter: A pragmatic approach to collect hateful and offensive expressions and perform hate speech detection
H Watanabe, M Bouazizi, T Ohtsuki - IEEE access, 2018 - ieeexplore.ieee.org
With the rapid growth of social networks and microblogging websites, communication
between people from different cultural and psychological backgrounds has become more …
between people from different cultural and psychological backgrounds has become more …
A survey on opinion mining and sentiment analysis: tasks, approaches and applications
With the advent of Web 2.0, people became more eager to express and share their opinions
on web regarding day-to-day activities and global issues as well. Evolution of social media …
on web regarding day-to-day activities and global issues as well. Evolution of social media …
Results of the WNUT2017 shared task on novel and emerging entity recognition
This shared task focuses on identifying unusual, previously-unseen entities in the context of
emerging discussions. Named entities form the basis of many modern approaches to other …
emerging discussions. Named entities form the basis of many modern approaches to other …
A pattern-based approach for sarcasm detection on twitter
M Bouazizi, TO Ohtsuki - IEEE Access, 2016 - ieeexplore.ieee.org
Sarcasm is a sophisticated form of irony widely used in social networks and microblogging
websites. It is usually used to convey implicit information within the message a person …
websites. It is usually used to convey implicit information within the message a person …
Analysis of named entity recognition and linking for tweets
Applying natural language processing for mining and intelligent information access to tweets
(a form of microblog) is a challenging, emerging research area. Unlike carefully authored …
(a form of microblog) is a challenging, emerging research area. Unlike carefully authored …