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ORPALIS SDK Important Release: Reinventing GdPicture.NET and DocuVieware

Muret, France (PRWEB) October 17, 2022 GdPicture.NET and DocuVieware are now cross-platformNew .NET 6 assemblies for GdPicture.NET & DocuVieware are ....

Midi Pyrées , Intelligent Document Processing , Artificial Intelligence , Document Layout Analysis , Optical Character Recognition , Key Value Pair , Natural Language Processing , Named Entity Recognition , Value Pair , Smart Redaction , Table Extraction , Press Release ,

"Combining Named Entity Recognition and Emotion Analysis of Tweets for " by May El Barachi, Sujith Samuel Mathew et al.

Natural Language Processing techniques have gained popularity for the analysis of social media content. A number of techniques have been proposed to analyze various aspects such as public opinion, sentiments, and emotions expressed, opinion leaders, and extreme views. However, existing approaches take a retrospective approach that studies opinions after the occurrence of events. With the buildup of negative sentiments and extreme public opinion potentially leading to violent actions and civil disobedience, there is a need for a proactive and predictive approach that can offer early warning signs to government officials to intervene. In this work, we propose such an approach by combining two natural language processing techniques: Named entity recognition (NER) and emotions analysis. By tagging important entities within posts, such as prominent figures and important locations, and analyzing whether the tweets mentioning important entities carry negative emotions such as anger or violenc ....

Language Processing , Early Warning , Emotion Analysis , Named Entity Recognition , Social Media Analytics , Us Presidential Election ,

An AI-Driven Bias Checker for News Articles, Available in Python

Researchers in Canada, India, China and Australia have collaborated to produce a freely-available Python package that can effectively be used to spot and replace 'unfair language' in news copy. The system, titled Dbias, uses various machine learning technologies and databases to develop a three-s ....

United States , New South Wales , United Kingdom , Durham University , Facebook Research , University Of Sydney , University Of Toronto , Deepblue Academy Of Sciences , Toronto Metropolitan University , Hugging Face , Google Docs , Natural Language Processing , Ensure Fairness , News Articles , Environmental Resources Management , Deepblue Academy , Bias Detection , Media Bias Annotation , Huffington Post , United States Today , Bias Recognition , Named Entity Recognition , Spacy English Transformer , Bias Masking , Masked Language Modeling , Google Colab Pro ,

Hypefactors A/S: Hypefactors ready to launch 'Names of Interest' technology

Copenhagen, May 31, 2022 (GLOBE NEWSWIRE) Announcement no. 8-2022 Inside Information The SaaS company Hypefactors, which delivers a unified solution for media intelligence, reputation and trust ....

Pierre Andr , Casper Janns , Hypefactor Atlastic , Named Entity Recognition , Earned Media , Nasdaq Growth Market ,

"Metamorphic testing of named entity recognition systems: A case study" by Yezi Xu, Zhi Quan Zhou et al.

Named entity recognition (NER) is a widely used natural language processing technique; it plays a key role in information extraction from sentences. To be able to test the correctness of NER systems is important, but it is expensive because an automated test oracle is normally unavailable. To address the oracle problem, this study proposes to apply metamorphic testing (MT). The authors conduct a case study with Litigant, an industrial NER system of the Ant Group, and show that MT can effectively detect real-life bugs in the absence of an ideal oracle. The authors further investigate the causes for a series of entity recognition failures detected. Outcomes of this research further justify the application of MT to the natural language processing domain as well as provide hints for practitioners to improve the quality process of their NER systems. ....

Ant Group , Metamorphic Relations , Metamorphic Testing , Named Entity Recognition , Natural Language Processing ,