What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- The Internet
- World Wide Web
Information retrieval, Ontology, World Wide Web, Semantic Web and Sentiment analysis are his primary areas of study.
His Information retrieval study combines topics in areas such as Ranking and Semantics.
The Process ontology research he does as part of his general Ontology study is frequently linked to other disciplines of science, such as Ontology, therefore creating a link between diverse domains of science.
His studies examine the connections between Process ontology and genetics, as well as such issues in Upper ontology, with regards to Ontology-based data integration.
Harith Alani has included themes like Visualization and Protégé in his World Wide Web study.
His work on Semantic Web Stack as part of his general Semantic Web study is frequently connected to Construct, thereby bridging the divide between different branches of science.
His most cited work include:
- Automatic ontology-based knowledge extraction from Web documents (409 citations)
- Semantic sentiment analysis of twitter (330 citations)
- Data Driven Ontology Evaluation (317 citations)
What are the main themes of his work throughout his whole career to date?
Harith Alani mainly focuses on World Wide Web, Ontology, Information retrieval, Social media and Semantic Web.
His World Wide Web study which covers Internet privacy that intersects with Context.
Harith Alani interconnects Knowledge management and Knowledge-based systems in the investigation of issues within Ontology.
His work on IDEF5, Ranking and Query expansion as part of general Information retrieval research is frequently linked to Set, thereby connecting diverse disciplines of science.
His Social media research integrates issues from Data science and Semantics, Artificial intelligence.
The concepts of his Semantics study are interwoven with issues in Sentiment analysis and Natural language processing.
He most often published in these fields:
- World Wide Web (36.76%)
- Ontology (24.51%)
- Information retrieval (22.55%)
What were the highlights of his more recent work (between 2016-2021)?
- Social media (21.08%)
- Data science (13.73%)
- Semantics (13.24%)
In recent papers he was focusing on the following fields of study:
Harith Alani spends much of his time researching Social media, Data science, Semantics, Event and Artificial intelligence.
His Social media study necessitates a more in-depth grasp of World Wide Web.
His studies in World Wide Web integrate themes in fields like Feature engineering and Lexical representation.
His studies deal with areas such as Context, Contextual information and Terminology as well as Semantics.
In his study, which falls under the umbrella issue of Artificial intelligence, Word is strongly linked to Natural language processing.
Ontology is frequently linked to Knowledge management in his study.
Between 2016 and 2021, his most popular works were:
- Online Misinformation: Challenges and Future Directions (33 citations)
- Bias in data-driven artificial intelligence systems - An introductory survey (29 citations)
- Exploring Misogyny across the Manosphere in Reddit (25 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- The Internet
- World Wide Web
Harith Alani mainly focuses on Social media, Semantics, Artificial intelligence, World Wide Web and Event.
His Social media research incorporates elements of Sentiment analysis and Natural language processing.
His biological study spans a wide range of topics, including Context, Contextual information, Adaptation and Lexicon.
The concepts of his Context study are interwoven with issues in Social web, Terminology, Offensive and Representation.
In general Artificial intelligence study, his work on Interpretability, Frame and Data-driven often relates to the realm of Focus and Term, thereby connecting several areas of interest.
The World Wide Web study combines topics in areas such as Feature engineering, Service and Lexical representation.
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