Results 21 to 30 of about 3,082,391 (312)

An Analysis of Structured Data on the Web [PDF]

, 2012
In this paper, we analyze the nature and distribution of structured data on the Web. Web-scale information extraction, or the problem of creating structured tables using extraction from the entire web, is gathering lots of research interest. We perform a
Dalvi, Nilesh, Machanavajjhala, Ashwin, Pang, Bo   +2 more
core   +1 more source

Revealing People’s Sentiment in Natural Italian Language Sentences

Computers, 2023
Social network systems are constantly fed with text messages. While this enables rapid communication and global awareness, some messages could be aptly made to hurt or mislead.
Andrea Calvagna, Emiliano Tramontana, Gabriella Verga   +2 more
doaj   +1 more source

Improved Social Network User Recommendation System—The Machine Learning Approach

Engineering Proceedings, 2023
In this paper, we propose a recommendation system for social media users which makes recommendations on the basis of the user profile information and the contents posted by users-the bio-aware algorithm. Text mining techniques are used to pre-process the
Yana A. Bekeneva, Titus U. Eze
doaj   +1 more source

XLIndy: interactive recognition and information extraction in spreadsheets [PDF]

, 2019
Over the years, spreadsheets have established their presence in many domains, including business, government, and science. However, challenges arise due to spreadsheets being partially-structured and carrying implicit (visual and textual) information ...
Gonsior, Julius, Koci, Elvis, Kuban, Dana, Lehner, Wolfgang, Luetting, Nico, Olwig, Dominik, Romero Moral, Óscar, Thiele, Maik   +7 more
core   +1 more source

Toward Tweet-Mining Framework for Extracting Terrorist Attack-Related Information and Reporting

IEEE Access, 2021
The widespread popularity of social networking is leading to the adoption of Twitter as an information dissemination tool. Existing research has shown that information dissemination over Twitter has a much broader reach than traditional media and can be ...
Farkhund Iqbal, Rabia Batool, Benjamin C. M. Fung, Saiqa Aleem, Ahmed Abbasi, Abdul Rehman Javed   +5 more
doaj   +1 more source

ChEMU 2020: Natural Language Processing Methods Are Effective for Information Extraction From Chemical Patents

Frontiers in Research Metrics and Analytics, 2021
Chemical patents represent a valuable source of information about new chemical compounds, which is critical to the drug discovery process. Automated information extraction over chemical patents is, however, a challenging task due to the large volume of ...
Jiayuan He, Jiayuan He, Dat Quoc Nguyen, Dat Quoc Nguyen, Saber A. Akhondi, Christian Druckenbrodt, Camilo Thorne, Ralph Hoessel, Zubair Afzal, Zenan Zhai, Biaoyan Fang, Hiyori Yoshikawa, Hiyori Yoshikawa, Ameer Albahem, Ameer Albahem, Lawrence Cavedon, Trevor Cohn, Timothy Baldwin, Karin Verspoor, Karin Verspoor   +19 more
doaj   +1 more source

Information Extraction and Named Entity Recognition Supported Social Media Sentiment Analysis during the COVID-19 Pandemic

Applied Sciences, 2021
Social media platforms are increasingly being used to communicate information, something which has only intensified during the pandemic. News portals and governments are also increasing attention to digital communications, announcements and response or ...
László Nemes, Attila Kiss
doaj   +1 more source

Challenges for chemical information extraction and text retrieval [PDF]

, 1997
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Bakel, Bas van, Postma, Geert
core   +2 more sources

Developing a predictive model using multivariate analysis and Long Short-Term Memory (LSTM) to assess corrosion degradation in mining pipeline thickness.

Proceedings of the International Florida Artificial Intelligence Research Society Conference
Pipeline corrosion has significant impacts on the human, economic, and natural environment. To help better detect and prevent it over time, in this paper, we propose a multivariate approach using machine learning.
Kalidou Moussa Sow, Nadia Ghazzali
doaj   +1 more source

Information Extraction in Illicit Domains

, 2017
Extracting useful entities and attribute values from illicit domains such as human trafficking is a challenging problem with the potential for widespread social impact.
Banko M., Bauer F., Chakrabarti S., Kushmerick N., Mikolov T., Sahlgren M., Wick M., Zouaq A.   +7 more
core   +1 more source