This paper presents RevEx, an online consumer reviews extraction tool. RevEx extracts the comments section for products in webshops. In contrast to other web scraping tools, it can work with heterogeneous web pages automatically, that is, it does not ...

The WallStreetBets (WSB) community on Reddit gained prominence for its role in the GameStop saga and the resulting meme stock phenomenon. Concurrently, this has boosted the popularity of finance-related communities on Reddit, with the top five totaling ...

The advent of information technology re-innovates all sectors of bio-sciences. Researchers use Semantic Web to improve web searching, mining and integration, which alleviates the time-consuming task of finding relevant and high-quality content. Semantics ...

Understanding the spread of images across the web helps us understand the reuse of scientific visualizations and their relationship with the public. The "Flatten the Curve" graphic was heavily used during the COVID-19 pandemic to convey a complex concept ...

Computing related entities for a given seed entity is an important task in exploratory search and comparative data analysis.Prior works, using the seed-based set expansion paradigm, have focused on the single aspect of identifying homogeneous sets with ...

Behavioral web data such as social web activity streams, query logs or behavioral traces from web search and navigation are crucial to understand the temporal evolution of the web and the human interactions that produce web data and models trained on ...

Graph neural networks (GNNs) are widely utilized to capture the information spreading patterns in graphs. While remarkable performance has been achieved, there is a new trending topic of evaluating node influence. We propose a new method of evaluating ...

During the past decade, there has been growing interest among researchers in informal learning at scale, particularly in the area of expert finding. These platforms have played a fundamental role in facilitating informal learning at scale, by providing ...

The large volumes of data on the Internet provides new opportunities for scientific discovery, especially promoting data-driven open science research. However, due to lack of accurate semantic markups, finding relevant data is still difficult. To ...

Labeling data is one of the most costly processes in machine learning pipelines. Active learning is a standard approach to alleviating this problem. Pool-based active learning first builds a pool of unlabelled data and iteratively selects data to be ...

Big data are everywhere. World Wide Web is an example of these big data. It has become a vast data production and consumption platform, at which threads of data evolve from multiple devices, by different human interactions, over worldwide locations, ...

The COVID-19 pandemic required efficient allocation of public resources and transforming existing ways of societal functions. To manage any crisis, governments and public health researchers exploit the information available to them in order to make ...

With web development, sometimes in keeping track of information on the web, the semantic meaning of words is not important, and the mere presence of words in the text is enough to extract information. In this research, the word-centric search method is ...

Detecting product adoption intentions on social media could yield significant value in a wide range of applications, such as personalized recommendations and targeted marketing. In the literature, no study has explored the detection of product adoption ...

Frequently Asked Questions (FAQ) are a form of semi-structured data that provides users with commonly requested information and enables several natural language processing tasks. Given the plethora of such question-answer pairs on the Web, there is an ...

The COVID-19 pandemic has disrupted people's lives driving them to act in fear, anxiety, and anger, leading to worldwide racist events in the physical world and online social networks. Though there are works focusing on Sinophobia during the COVID-19 ...

The main content of a webpage is often surrounded by other boilerplate elements related to the template, such as menus, advertisements, copyright notices, and comments. For crawlers and indexers, isolating the main content from the template and other ...

The European Union law-making process is an instance of a peer-production system. We mine a rich dataset of law edits and introduce models predicting their adoption by parliamentary committees. Edits are proposed by parliamentarians, and they can be in ...

E-procurement is an electronic procurement system that became a key factor required to manage financial aspect of a country with appropriate controls and protected by legal policies. The Presidential Regulation in Indonesia expect all government ...

Smart connected home systems bring different privacy challenges to residents. The contribution of this paper is a novel privacy grounded classification of smart connected home systems that is focused on personal data exposure. This classification is ...