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Chapter and Conference Paper
Weakly Supervised Named Entity Recognition for Carbon Storage Using Deep Neural Networks
Applying Transfer-Learning based on pre-trained language models has become popular in Natural Language Processing. In this paper, we present a weakly supervised Named Entity Recognition system that uses a pre-...
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Article
Open AccessInferring psychological traits from spending categories and dynamic consumption patterns
In recent years there has been a growing interest in analyzing human behavioral data generated by new technologies. One type of digital footprint that is universal across the world, but that has received relat...
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Chapter and Conference Paper
PROCLAIM: An Unsupervised Approach to Discover Domain-Specific Attribute Matchings from Heterogeneous Sources
Schema matching is a critical problem in many applications where the main goal is to match attributes coming from heterogeneous sources. In this paper, we propose PROCLAIM (PROfile-based Cluster-Labeling for A...
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Chapter and Conference Paper
A Graph Partitioning Algorithm for Edge or Vertex Balance
The definition of effective strategies for graph partitioning is a major challenge in distributed environments since an effective graph partitioning allows to considerably improve the performance of large grap...
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Article
Determining the interests of social media users: two approaches
Although social media platforms serve diverse purposes, from social and professional networking to photo sharing and blogging, people frequently use them to share the thoughts and opinions and most importantly...
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Chapter and Conference Paper
Profile Reconciliation Through Dynamic Activities Across Social Networks
Since today’s online social media serve diverse purposes such as social and professional networking, photo and blog sharing, it is not uncommon for people to have multiple profiles across different social netw...
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Article
Open AccessA Frequent Named Entities-Based Approach for Interpreting Reputation in Twitter
Twitter is a social network that provides a powerful source of data. The analysis of those data offers many challenges among those stands out the opportunity to find reputation of a product, a person or any ot...
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Chapter and Conference Paper
Modeling Strategies for Storing Data in Distributed Heterogeneous NoSQL Databases
In this work, we propose HerM (Heterogeneous Distributed Model), a NoSQL data modeling approach which supports the use of multiple heterogeneous NoSQL systems in a distributed environment. We define the concep...