Machine learning techniques for hate speech classification of twitter data: State-of-the-art, future challenges and research directions
Twitter is a microblogging tool that allow the creation of big data through short digital
contents. This study provides a survey of machine learning techniques for hate speech …
contents. This study provides a survey of machine learning techniques for hate speech …
Natural language processing in law: Prediction of outcomes in the higher courts of Turkey
Natural language processing (NLP) based approaches have recently received attention for
legal systems of several countries. It is of interest to study the wide variety of legal systems …
legal systems of several countries. It is of interest to study the wide variety of legal systems …
How COVID-19 information spread in US? The role of Twitter as early indicator of epidemics
C Comito - IEEE Transactions on services computing, 2021 - ieeexplore.ieee.org
This article presents a detailed analysis of Twitter data to inspect how information about the
COVID-19 epidemics spread in US. To this purpose, the objectives are to identify the key …
COVID-19 epidemics spread in US. To this purpose, the objectives are to identify the key …
[PDF][PDF] Recent trends of machine learning predictions using open data: a systematic review
Machine learning (ML) prediction determinants based on open data (OD) are investigated in
this work, which is accomplished by examining current research trends over ten years …
this work, which is accomplished by examining current research trends over ten years …
Learning interpretable word embeddings via bidirectional alignment of dimensions with semantic concepts
We propose bidirectional imparting or BiImp, a generalized method for aligning embedding
dimensions with concepts during the embedding learning phase. While preserving the …
dimensions with concepts during the embedding learning phase. While preserving the …
# ArsonEmergency and Australia's “Black Summer”: Polarisation and misinformation on social media
Abstract During the summer of 2019–2020, while Australia suffered unprecedented
bushfires across the country, false narratives regarding arson and limited backburning …
bushfires across the country, false narratives regarding arson and limited backburning …
[HTML][HTML] Targeted aspect-based emotion analysis to detect opportunities and precaution in financial Twitter messages
S García-Méndez, F de Arriba-Pérez… - Expert Systems with …, 2023 - Elsevier
Microblogging platforms, of which Twitter is a representative example, are valuable
information sources for market screening and financial models. In them, users voluntarily …
information sources for market screening and financial models. In them, users voluntarily …
Detection of financial opportunities in micro-blogging data with a stacked classification system
F De Arriba-Perez, S García-Méndez… - IEEE …, 2020 - ieeexplore.ieee.org
Micro-blogging sources such as the Twitter social network provide valuable real-time data
for market prediction models. Investors' opinions in this network follow the fluctuations of the …
for market prediction models. Investors' opinions in this network follow the fluctuations of the …
How the high-impact papers formed? A study using data from social media and citation
J Hou, D Ma - Scientometrics, 2020 - Springer
Research on the formation structure and characteristics of top-impact papers can serve as
the basis for the construction of social media-based information communication pattern, and …
the basis for the construction of social media-based information communication pattern, and …
[HTML][HTML] Cold-start link prediction integrating community information via multi-nonnegative matrix factorization
M Tang, W Wang - Chaos, Solitons & Fractals, 2022 - Elsevier
Cold-start link prediction has attracted much attention as a sub-problem of link prediction
recently. However, due to the influence of some isolated nodes existing in the network, the …
recently. However, due to the influence of some isolated nodes existing in the network, the …