Richi Nayak
Datos Biográficos
| ID | 3924908 |
|---|---|
| NOMBRE | Richi Nayak |
| NOMBRES | Richi |
| APELLIDO | Nayak |
| FIRMA | NAYAK R |
| AFILIACIONES | Queensland University of Technology |
| ORCID | 0000-0002-9954-0159 |
| VERIFICADO | Sí |
| TOTAL DE OBRAS | 10 |
| TOTAL DE CITAS | 4 |
| TOTAL COMO AUTOR | 10 |
| TOTAL COMO EDITOR | 0 |
| PRIMER AÑO DE PUBLICACIÓN | 2012 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2025 |
| ÍNDICE H | 1 |
Prototypical network based few shot learning to detect Hindi–English code-mixed offensive text
Social media platforms, nowadays, are often misused to disseminate hate speech, offensive and body shaming comments targeting a group or individual. Such content is increasing in mixed languages due to language diversity. A common approach is to use CNN and LSTM in a supervised setting to extract relevant features. However, the practical implementation of these models presents a significant hurdle given the substantial demand for annotated data d…
Twitter’s pulse on hydrogen energy in 280 characters
Uncovering the public discourse on hydrogen energy is essential for understanding public behaviour and the evolving nature of conversations over time and across different regions. This paper presents a comprehensive analysis of a large multilingual dataset pertaining to hydrogen energy collected from Twitter spanning a decade (2013–2022) using selected keywords. The analysis aims to explore various aspects, including the temporal and spatial dime…
First, do no harm
Student evaluation of teaching (SET) surveys are the most widely used tool for collecting higher education student feedback to inform academic quality improvement, promotion and recruitment processes. Malicious and abusive student comments in SET surveys have the potential to harm the wellbeing and career prospects of academics. Despite much literature highlighting abusive feedback in SET surveys, little research attention has been given to metho…
An Informed Neural Network for Discovering Historical Documentation Assisting the Repatriation of Indigenous Ancestral Human Remains
Among the pressing issues facing Australian and other First Nations peoples is the repatriation of the bodily remains of their ancestors, which are currently held in Western scientific institutions. The success of securing the return of these remains to their communities for reburial depends largely on locating information within scientific and other literature published between 1790 and 1970 documenting their theft, donation, sale, or exchange b…
Deep learning based topic and sentiment analysis
Social media platforms have become a common place for information exchange among their users. People leave traces of their emotions via text expressions. A systematic collection, analysis, and interpretation of social media data across time and space can give insights into local outbreaks, mental health, and social issues. Such timely insights can help in developing strategies and resources with an appropriate and efficient response. This study a…
Progressive domain adaptation for detecting hate speech on social media with small training set and its application to Covid-19 concerned posts
Identifying Covid-19 misinformation tweets and learning their spatio-temporal topic dynamics using Nonnegative Coupled Matrix Tensor Factorization
FCMiner
Fine-grained document clustering via ranking and its application to social media analytics
Leveraging the network information for evaluating answer quality in a collaborative question answering portal
Leveraging the network information for evaluating answer quality in a collaborative question answering portal
Fine-grained document clustering via ranking and its application to social media analytics
FCMiner
Progressive domain adaptation for detecting hate speech on social media with small training set and its application to Covid-19 concerned posts
Identifying Covid-19 misinformation tweets and learning their spatio-temporal topic dynamics using Nonnegative Coupled Matrix Tensor Factorization
Deep learning based topic and sentiment analysis
Social media platforms have become a common place for information exchange among their users. People leave traces of their emotions via text expressions. A systematic collection, analysis, and interpretation of social media data across time and space can give insights into local outbreaks, mental health, and social issues. Such timely insights can help in developing strategies and resources with an appropriate and efficient response. This study a…
First, do no harm
Student evaluation of teaching (SET) surveys are the most widely used tool for collecting higher education student feedback to inform academic quality improvement, promotion and recruitment processes. Malicious and abusive student comments in SET surveys have the potential to harm the wellbeing and career prospects of academics. Despite much literature highlighting abusive feedback in SET surveys, little research attention has been given to metho…
An Informed Neural Network for Discovering Historical Documentation Assisting the Repatriation of Indigenous Ancestral Human Remains
Among the pressing issues facing Australian and other First Nations peoples is the repatriation of the bodily remains of their ancestors, which are currently held in Western scientific institutions. The success of securing the return of these remains to their communities for reburial depends largely on locating information within scientific and other literature published between 1790 and 1970 documenting their theft, donation, sale, or exchange b…
Twitter’s pulse on hydrogen energy in 280 characters
Uncovering the public discourse on hydrogen energy is essential for understanding public behaviour and the evolving nature of conversations over time and across different regions. This paper presents a comprehensive analysis of a large multilingual dataset pertaining to hydrogen energy collected from Twitter spanning a decade (2013–2022) using selected keywords. The analysis aims to explore various aspects, including the temporal and spatial dime…
Prototypical network based few shot learning to detect Hindi–English code-mixed offensive text
Social media platforms, nowadays, are often misused to disseminate hate speech, offensive and body shaming comments targeting a group or individual. Such content is increasing in mixed languages due to language diversity. A common approach is to use CNN and LSTM in a supervised setting to extract relevant features. However, the practical implementation of these models presents a significant hurdle given the substantial demand for annotated data d…
Computer Science (10 obras) · Artificial Intelligence (6 obras) · Social media (6 obras) · World Wide Web (6 obras) · Data science (4 obras) · Information retrieval (4 obras) · Topic Modeling (4 obras) · Advanced Clustering Algorithms Research (2 obras) · Advanced Text Analysis Techniques (2 obras) · Complex Network Analysis Techniques (2 obras)