Navya Jose
Impact in
- Artificial Intelligence top 10%
- Hate Speech and Cyberbullying Detection
- Natural Language Processing Techniques
- Sentiment Analysis and Opinion Mining
- Topic Modeling
- Speech Recognition and Synthesis
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- Swearing, Euphemism, Multilingualism
Papers in
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- Hate Speech and Cyberbullying Detection 3
- Natural Language Processing Techniques 2
- Sentiment Analysis and Opinion Mining 1
- Topic Modeling 1
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- Swearing, Euphemism, Multilingualism 2
- Co-authors
- Elizabeth Sherly (4 shared papers)Bharathi Raja Chakravarthi (4 shared papers)John P. McCrae (4 shared papers)Shardul Suryawanshi (3 shared papers)Ruba Priyadharshini (3 shared papers)Vigneshwaran Muralidaran (2 shared papers)Dhanshree R. Gunjawate (1 shared paper)Usha Devadas (1 shared paper)
- Journals
- Journal of Voice (1 paper)Language Resources and Evaluation (1 paper)ARAN (University of Galway Research Repository) (Ollscoil na Gaillimhe – University of Galway) (1 paper)HAL (Le Centre pour la Communication Scientifique Directe) (1 paper)
- Partner nations
- IndiaIrelandUnited Kingdom
In The Last Decade
Navya Jose
5 papers receiving 179 citations
Peers
Comparison fields: 5 of 28
- Artificial Intelligence 195
- Communication 27
- Human-Computer Interaction 7
- Signal Processing 12
- Information Systems 21
Countries citing papers authored by Navya Jose
This map shows the geographic impact of Navya Jose's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Navya Jose with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Navya Jose more than expected).
Fields of papers citing papers by Navya Jose
This network shows the impact of papers produced by Navya Jose. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Navya Jose. The network helps show where Navya Jose may publish in the future.
Co-authors
The 11 scholars most cited alongside Navya Jose, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 70 | |
| 2 | 2022 | 59 | |
| 3 | 2020 | 54 | |
| 4 | Findings of the Shared Task on Offensive Language Identification in Tamil, Malayalam, and Kannada | 2021 | 27 |
| 5 | 2015 | 20 |
About Navya Jose
Navya Jose is a scholar working on Artificial Intelligence, Communication, Linguistics and Language, Physiology and Human-Computer Interaction, having authored 5 papers that have together received 230 indexed citations. Recurring topics across this work include Hate Speech and Cyberbullying Detection (3 papers), Swearing, Euphemism, Multilingualism (2 papers), Natural Language Processing Techniques (2 papers), Multilingual Education and Policy (1 paper), Sentiment Analysis and Opinion Mining (1 paper), Digital Communication and Language (1 paper), Topic Modeling (1 paper) and Voice and Speech Disorders (1 paper). The work is most often cited by research in Artificial Intelligence (195 citations), Communication (27 citations), Human-Computer Interaction (7 citations), Signal Processing (12 citations) and Information Systems (21 citations). Navya Jose has collaborated with scholars based in India, Ireland and United Kingdom. Frequent co-authors include Elizabeth Sherly, Bharathi Raja Chakravarthi, John P. McCrae, Shardul Suryawanshi, Ruba Priyadharshini, Vigneshwaran Muralidaran, Dhanshree R. Gunjawate, Usha Devadas, Prasanna Kumar Kumaresan and Thomas Mandl. Their work appears in journals such as Journal of Voice, Language Resources and Evaluation, ARAN (University of Galway Research Repository) (Ollscoil na Gaillimhe – University of Galway) and HAL (Le Centre pour la Communication Scientifique Directe).
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.