What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Natural language processing
- Machine learning
Marcos Zampieri spends much of his time researching Artificial intelligence, Natural language processing, Social media, Language identification and Digital subscriber line.
The various areas that Marcos Zampieri examines in his Artificial intelligence study include Test and Arabic.
His Arabic research includes elements of Language model and Feature.
His work deals with themes such as Classification methods and Word, which intersect with Social media.
In general Language identification study, his work on Automatic language identification often relates to the realm of Evaluation methods, thereby connecting several areas of interest.
His Test set research incorporates elements of Programming language and Set.
His most cited work include:
- Findings of the 2016 Conference on Machine Translation (327 citations)
- SemEval-2019 Task 6: Identifying and Categorizing Offensive Language in Social Media (OffensEval). (300 citations)
- Predicting the Type and Target of Offensive Posts in Social Media (237 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Artificial intelligence, Natural language processing, Language identification, Social media and Identification.
His Artificial intelligence study integrates concerns from other disciplines, such as Machine learning and Arabic.
Marcos Zampieri studies Natural language processing, focusing on Language model in particular.
The concepts of his Language model study are interwoven with issues in Classifier and Naive Bayes classifier.
Bengali is closely connected to Hindi in his research, which is encompassed under the umbrella topic of Language identification.
His Social media study spans across into areas like Offensive and Aggression.
He most often published in these fields:
- Artificial intelligence (77.37%)
- Natural language processing (72.26%)
- Language identification (24.82%)
What were the highlights of his more recent work (between 2019-2021)?
- Artificial intelligence (77.37%)
- Natural language processing (72.26%)
- Social media (16.79%)
In recent papers he was focusing on the following fields of study:
Marcos Zampieri mainly focuses on Artificial intelligence, Natural language processing, Social media, Offensive and Language identification.
His research in Artificial intelligence intersects with topics in Field, Machine learning and Compiler.
His Natural language processing research is multidisciplinary, incorporating elements of Domain, Preprocessor and Variation.
Marcos Zampieri has included themes like Taxonomy and Test set in his Social media study.
His studies deal with areas such as Deep learning, Dravidian languages and Categorization as well as Language identification.
His study in Machine translation is interdisciplinary in nature, drawing from both Translation, Serbian, Focus and Portuguese.
Between 2019 and 2021, his most popular works were:
- SemEval-2020 Task 12: Multilingual Offensive Language Identification in Social Media (OffensEval 2020) (139 citations)
- A Large-Scale Semi-Supervised Dataset for Offensive Language Identification (64 citations)
- Offensive Language Identification in Greek. (63 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Natural language processing
- Machine learning
Marcos Zampieri mainly investigates Social media, Natural language processing, Artificial intelligence, Offensive and Language identification.
Marcos Zampieri interconnects Hindi and Bengali in the investigation of issues within Social media.
His Natural language processing research is mostly focused on the topic Machine translation.
Marcos Zampieri has researched Machine translation in several fields, including Compiler, Parsing, Field, Preprocessor and Translation.
Throughout his Offensive studies, Marcos Zampieri incorporates elements of other sciences such as Danish, Arabic, SemEval, Turkish and Categorization.
Marcos Zampieri combines subjects such as Deep learning, Test set and Taxonomy with his study of Language identification.
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