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The recent wave of elections won by right-wing worldwide brings up increased discussions biased by political polarization, including in social media. Social media data enables the investigation of the contexts where political polarization occurs, ...

• Designs a multi-dimension framework to analyze politically biased behavior in Twitter
• Analyses polarization, concerns, social structure, psychological aspects, information
• Contributed to topic modeling by synergetically combining ...

BERT produces state-of-the-art solutions for many natural language processing tasks at the cost of interpretability. As works discuss the value of BERT’s attention weights to this purpose, we contribute to the field by examining this issue in the ...

The Internet of Things (IoT) and continuous advances in data-gathering devices and techniques have significantly increased the amount of relevant data that can be leveraged for innovative real-time, data-driven applications. Digital Twins (DTs) ...

BERT models are currently state-of-the-art solutions for various tasks, including stance classification. However, these models are a black box for their users. Some proposals have leveraged the weights assigned by the internal attention mechanisms of ...

Online product reviews have become fundamental to users' purchasing decisions. Many websites provide rating-based ranking of entities, but analyzing the set of textual reviews is still time-consuming. Indeed, each user (reader) must build his/her own ...

• A hybrid semantic enrichment framework to classify event-related tweets
• ...

Twitter has become instrumental as a means of spreading information, opinions or awareness about real-world events. The classification of event-related tweets is a challenging problem since tweets are noisy and sparse pieces of text ...

Many online collaborative games, e-sports in particular, heavily rely on teamwork. However, players can act in an antisocial way during the match, creating dissent into the match. This kind of behavior is referred to as toxic. We aim to discover the ...

The automatic detection of relevant reviews plays a major role in tasks such as opinion summarization, opinion-based recommendation, and opinion retrieval. Supervised approaches for ranking reviews by relevance rely on the existence of a significant, ...

Contextual enrichment using external sources has been proposed as a means to deal with the poor textual contents of tweets for event classification. Related work performs contextual enrichment according to specific assumptions about the events. ...

Investigated emotion classification in texts in a multilingual (ML) context.Assessed two ML strategies to compensate losses due to automatic translation.Assessed data pre-processing options and classification algorithms for emotion ...

Sentiment analysis has been adopted in software engineering for problems such as software usability and sentiment of developers in open-source projects. This paper proposes a method to evaluate the sentiment contained in tickets for IT (Information ...

The success of opinion mining for automatically processing vast amounts of opinionated content available on the Internet has been demonstrated as a less expensive and lower latency solution for gathering public opinion. In this paper, we investigate ...

With the growing demand for service-oriented applications, the complexity of service change management is increasing. Existing work essentially addresses change decisions from a technical perspective (e.g. versioning, compatibility), but providers need ...

As part of web services life-cycle, providers frequently face decision about changes without a clear understanding of the impact on their clients. The identification of clients' consumption patterns constitute invaluable information to support more ...

As part of web services life-cycle, providers frequently face decision about changes without a clear understanding of the impact on their clients. The identification of clients' consumption patterns constitutes invaluable information to support more ...

Service evolution management imposes complex challenges to a service provider. Identifying which changes are necessary and choosing the ones to implement are some of the decisions that providers have to face. The decision making process involves the ...

Service evolution is a critical issue because even small changes, if not compatible, can potentially affect a huge number of client applications. However, particularly in the context of large scale service usage, changes have different impact on clients ...

References are the main descriptive metadata used by digital libraries of scientific articles. These references can be represented by several formats and styles. Although considerable content variations can also occur in some metadata fields such as ...

Services have been increasingly used as the building blocks for decoupled and flexible applications. Service evolution is a critical issue because even small changes, if not compatible, can potentially affect a huge number of client applications. ...

A major advantage of Service-Oriented Architectures SOA is composition and coordination of loosely coupled services. Because the development lifecycles of services and clients are de-coupled, multiple service versions must be maintained to support older ...