What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- The Internet
- Database
The scientist’s investigation covers issues in Information retrieval, Citation, World Wide Web, Data science and Social media.
His Information retrieval study combines topics in areas such as Metadata and Data mining.
Prasenjit Mitra interconnects Learning to rank, Context, Recommender system and Generative grammar in the investigation of issues within Citation.
His Data science research integrates issues from Sentiment analysis, The Internet and Internet privacy.
His study in the field of Microblogging is also linked to topics like Situation awareness and Relevant information.
His Microblogging research focuses on Machine learning and how it relates to Artificial intelligence.
His most cited work include:
- A graph-oriented model for articulation of ontology interdependencies (467 citations)
- Detecting rumors from microblogs with recurrent neural networks (388 citations)
- Context-aware citation recommendation (274 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Information retrieval, World Wide Web, Data mining, Artificial intelligence and Data science.
His biological study deals with issues like Citation, which deal with fields such as Context.
His World Wide Web research incorporates elements of Sentiment analysis, Information extraction and Thread.
Prasenjit Mitra combines subjects such as Classifier, Cluster analysis and Graph with his study of Data mining.
His Artificial intelligence research incorporates themes from Machine learning, Pattern recognition and Natural language processing.
He combines topics linked to Social media with his work on Data science.
He most often published in these fields:
- Information retrieval (44.66%)
- World Wide Web (23.72%)
- Data mining (18.97%)
What were the highlights of his more recent work (between 2015-2020)?
- Artificial intelligence (17.39%)
- Social media (7.11%)
- Automatic summarization (6.72%)
In recent papers he was focusing on the following fields of study:
Artificial intelligence, Social media, Automatic summarization, Information retrieval and Data science are his primary areas of study.
His work carried out in the field of Artificial intelligence brings together such families of science as Machine learning and Natural language processing.
His research in the fields of Microblogging overlaps with other disciplines such as Situation awareness.
His Automatic summarization study deals with Graph intersecting with Citation, Sketch, Theoretical computer science and Feedback arc set.
His Information extraction study in the realm of Information retrieval connects with subjects such as Online encyclopedia.
His Data science study which covers Task that intersects with Cluster analysis.
Between 2015 and 2020, his most popular works were:
- Detecting rumors from microblogs with recurrent neural networks (388 citations)
- Twitter as a lifeline: Human-annotated Twitter corpora for NLP of crisis-related messages (100 citations)
- Robust classification of crisis-related data on social networks using convolutional neural networks (81 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- The Internet
- Database
Prasenjit Mitra mainly investigates Social media, Data science, Artificial intelligence, Microblogging and Situation awareness.
Social media is a subfield of World Wide Web that he tackles.
His work investigates the relationship between Data science and topics such as Task that intersect with problems in Information needs, Computer security and Convolutional neural network.
His Artificial intelligence research includes elements of Machine learning and Big data.
His work in Microblogging covers topics such as Automatic summarization which are related to areas like Content word and Analytics.
Among his Situation awareness studies, there is a synthesis of other scientific areas such as Word2vec and Information retrieval.
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