What is he best known for?
The fields of study Ronen Feldman is best known for:
- Earnings management
- Finance
- Data mining
Ronen Feldman is involved in relevant fields of research such as Classifier (UML) and Predicate (mathematical logic) in the realm of Programming language.
His work on Classifier (UML) is being expanded to include thematically relevant topics such as Programming language.
His research on Natural language processing often connects related areas such as Phrase and Sentiment analysis.
Much of his study explores Phrase relationship to Natural language processing.
He combines topics linked to sort with his work on Information retrieval.
Ronen Feldman conducts interdisciplinary study in the fields of Data science and Data mining through his works.
Ronen Feldman conducts interdisciplinary study in the fields of Data mining and Big data through his works.
He conducts interdisciplinary study in the fields of Big data and Data science through his works.
He connects Artificial intelligence with Sentiment analysis in his study.
His most cited work include:
- Techniques and applications for sentiment analysis (1013 citations)
- Mine Your Own Business: Market-Structure Surveillance Through Text Mining (518 citations)
- The text mining handbook: advanced approaches in analyzing unstructured data (507 citations)
What are the main themes of his work throughout his whole career to date
Ronen Feldman applies his multidisciplinary studies on Information retrieval and Text mining in his research.
He incorporates Text mining and Information retrieval in his research.
Artificial intelligence connects with themes related to Relationship extraction in his study.
Relationship extraction is closely attributed to Artificial intelligence in his research.
He undertakes multidisciplinary studies into Data mining and Data science in his work.
He carries out multidisciplinary research, doing studies in Data science and Data mining.
His work in World Wide Web is not limited to one particular discipline; it also encompasses Concept mining.
With his scientific publications, his incorporates both Concept mining and Web mining.
His work on Web mining is being expanded to include thematically relevant topics such as World Wide Web.
Ronen Feldman most often published in these fields:
- Information retrieval (56.25%)
- Artificial intelligence (50.00%)
- Data mining (39.58%)
What were the highlights of his more recent work (between 2014-2019)?
- Quantum mechanics (75.00%)
- Financial economics (50.00%)
- Volatility (finance) (25.00%)
In recent works Ronen Feldman was focusing on the following fields of study:
His work on Financial economics as part of general Volatility (finance) study is frequently linked to Monetary economics, therefore connecting diverse disciplines of science.
He merges Financial economics with Volatility (finance) in his research.
With his scientific publications, his incorporates both Quantum mechanics and Event (particle physics).
Ronen Feldman integrates several fields in his works, including Event (particle physics) and Quantum mechanics.
In his works, Ronen Feldman conducts interdisciplinary research on Respiratory minute volume and Respiratory rate.
By researching both Respiratory rate and Respiratory monitoring, Ronen Feldman produces research that crosses academic boundaries.
His study connects Respiratory system and Respiratory monitoring.
Ronen Feldman undertakes multidisciplinary studies into Respiratory system and Respiratory minute volume in his work.
While working on this project, Ronen Feldman studies both Statistics and Linear regression.
Between 2014 and 2019, his most popular works were:
- Information, Trading, and Volatility: Evidence from Firm-Specific News (76 citations)
- Investigation of the Chromosphere–Corona Interface with the Upgraded Very High Angular Resolution Ultraviolet Telescope (VAULT2.0) (8 citations)
- Linshom respiratory monitoring device: a novel temperature-based respiratory monitor (8 citations)
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