[HTML][HTML] Social media toxicity classification using deep learning: real-world application UK Brexit
Social media has become an essential facet of modern society, wherein people share their
opinions on a wide variety of topics. Social media is quickly becoming indispensable for a …
opinions on a wide variety of topics. Social media is quickly becoming indispensable for a …
Crisisbert: a robust transformer for crisis classification and contextual crisis embedding
Detecting crisis events accurately is an important task, as it allows the relevant authorities to
implement necessary actions to mitigate damages. For this purpose, social media serve as a …
implement necessary actions to mitigate damages. For this purpose, social media serve as a …
Attentive heterogeneous graph embedding for job mobility prediction
Job mobility prediction is an emerging research topic that can benefit both organizations and
talents in various ways, such as job recommendation, talent recruitment, and career …
talents in various ways, such as job recommendation, talent recruitment, and career …
Design knowledge representation with technology semantic network
Engineers often need to discover and learn designs from unfamiliar domains for inspiration
or other particular uses. However, the complexity of the technical design descriptions and …
or other particular uses. However, the complexity of the technical design descriptions and …
An improved heterogeneous graph convolutional network for job recommendation
Job recommendation is crucial in online recruitment platforms due to the overwhelming
number of job postings. Job seekers spend considerable time and effort searching for …
number of job postings. Job seekers spend considerable time and effort searching for …
Spatial-Temporal Graph Representation Learning for Tactical Networks Future State Prediction
Resource allocation in tactical ad-hoc networks presents unique challenges due to their
dynamic and multi-hop nature. Accurate prediction of future network connectivity is essential …
dynamic and multi-hop nature. Accurate prediction of future network connectivity is essential …
Measuring employer attractiveness in diverse talent markets
Previous work has measured employer attractiveness via proxies, such as the number of
new hires or employee sentiment mined from surveys and reviews. The first drawback of …
new hires or employee sentiment mined from surveys and reviews. The first drawback of …
Title2Vec: A contextual job title embedding for occupational named entity recognition and other applications
Occupational data mining and analysis is an important task in understanding today's
industry and job market. Various machine learning techniques are proposed and gradually …
industry and job market. Various machine learning techniques are proposed and gradually …
SkillRec: A data-driven approach to job skill recommendation for career insights
Understanding the skill sets and knowledge required for any career is of utmost importance,
but it is increasingly challenging in today's dynamic world with rapid changes in terms of the …
but it is increasingly challenging in today's dynamic world with rapid changes in terms of the …
Strategic and crowd-aware itinerary recommendation
There is a rapidly growing demand for itinerary planning in tourism but this task remains
complex and difficult, especially when considering the need to optimize for queuing time and …
complex and difficult, especially when considering the need to optimize for queuing time and …