Jyoti Prakash Singh
Biographic Data
| ID | 3925472 |
|---|---|
| NAME | Jyoti Prakash Singh |
| GIVEN NAMES | Jyoti Prakash |
| FAMILY NAME | Singh |
| SIGNATURE | SINGH J P |
| AFFILIATIONS | National Institute of Technology Patna |
| ORCID | 0000-0002-3742-7484 |
| VERIFIED | Yes |
| TOTAL WORKS | 12 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 12 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Fine-Grained Visual Aspects in Genre Prediction
In this study, we investigate the role of visual content in accurately predicting movie genres. By extracting keyframes from Hindi, Bengali, Malayalam, and Telugu language-based Indian movie trailers in the Flickscore dataset, we analyse visual elements using visual language model (VLM) and Large Language Models (LLMs). Our approach focuses on the FAMOS aspects (focus, action, mood, object, setting) to understand the movie’s theme, summary, and g…
Explainable Bert-LSTM Stacking for Sentiment Analysis of Covid-19 Vaccination
Many people have been severely affected by the COVID-19 pandemic, which has caused intense anxiety, fear, and complex feelings or emotions. People’s emotions have changed and become more complicated since coronavirus vaccinations were introduced. Sentiment analysis of COVID-19 vaccination is critical for understanding public perception, vaccine hesitancy, monitoring vaccine impact, identifying adverse reactions, making policies, and allocating re…
The I2U2
In the present era, the concept of minilateralism has emerged as an essential instrument of the attainment of a country’s strategic interests. Consequently, the global world is shifting from multilateral alliances to minilateral groupings. The article analyzes the emergence of a minilateral construct and the formation of minilateral platform I2U2. The newly established quadrilateral group I2U2, which includes India, Israel, the UAE and the United…
Local explainability-based model for clickbait spoiler generation
Autoencoder-Based Feature Extraction for Identifying Hate Speech Spreaders in Social Media
Hate speech on social media has become a big problem, making regular users very upset and giving victims depression and suicidal thoughts. Early identification of the user spreading this type of hate speech may be a better solution, allowing hate speech to be stopped at source. In this article, we attempt to identify these hate speech spreaders by finding a representation for each user. Each user’s comments are aggregated and fed to an auto-encod…
Deep Neural Networks for Location Reference Identification From Bilingual Disaster-Related Tweets
Twitter is increasingly being used during disasters to communicate with authorities, ascertain the ground reality, and coordinate real-time rescue and recovery activities. Geographical location information about users and events is critical in these scenarios. Geotagged tweets are extremely infrequent, and other location fields, such as user location and place name, are unreliable. The extraction of geographical information from tweet text is lim…
Detecting Disseminators of Hate Speech by Optimizing Textual and User-Based Features
Hate speech through online social media is on the rise, which has attracted researchers across the world to develop models to control its circulation to create better and smarter society. Although several models have been reported to recognize hate speech in the most widely spoken language, the issue has not yet been deemed to be under control. Very few academics have built models to identify hate speech spreaders so that the problem can be manag…
China’s Assertive Escalation in the Indo-Pacific Region and its Repercussions on India-US Relations
In recent decades due to the shift in power balance in the Indo-Pacific region, the region has gained attention from all over the world. The tremendous rise of China, economically and militarily, has altered the status quo in South Asia and raised security concerns in different countries, including India. Moreover, China’s massive growth has also threatened US hegemony in the Western Pacific Region and globally. The paper analyzes China’s recent …
Soil health restoration in degraded lands
Land degradation is one of the most pressing environmental problems of the 21st century particularly due to its impact on global food security and environmental quality through the loss of biodiversity and ecosystem services. Land degradation happens at an accelerated rate and affects regions inhabited by more than one‐third population of the world. This phenomenon resulted in a dramatic reduction in the productivity of cropland and rangeland of …
Identification of clickbait news articles using SBERT and correlation matrix
Social media analytics for end-users' expectation management in information systems development projects
Purpose This study, an exploratory research, aims to investigate social media users' expectations of information systems (IS) products that are conceived but not yet launched. It specifically analyses social media data from Twitter about forthcoming smartphones and smartwatches from Apple and Samsung, two firms known for their innovative gadgets. Design/methodology/approach Tweets related to the following four forthcoming IS products were retriev…
Disaster related social media content processing for sustainable cities
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Social media analytics for end-users' expectation management in information systems development projects
Purpose This study, an exploratory research, aims to investigate social media users' expectations of information systems (IS) products that are conceived but not yet launched. It specifically analyses social media data from Twitter about forthcoming smartphones and smartwatches from Apple and Samsung, two firms known for their innovative gadgets. Design/methodology/approach Tweets related to the following four forthcoming IS products were retriev…
Disaster related social media content processing for sustainable cities
Soil health restoration in degraded lands
Land degradation is one of the most pressing environmental problems of the 21st century particularly due to its impact on global food security and environmental quality through the loss of biodiversity and ecosystem services. Land degradation happens at an accelerated rate and affects regions inhabited by more than one‐third population of the world. This phenomenon resulted in a dramatic reduction in the productivity of cropland and rangeland of …
Identification of clickbait news articles using SBERT and correlation matrix
Autoencoder-Based Feature Extraction for Identifying Hate Speech Spreaders in Social Media
Hate speech on social media has become a big problem, making regular users very upset and giving victims depression and suicidal thoughts. Early identification of the user spreading this type of hate speech may be a better solution, allowing hate speech to be stopped at source. In this article, we attempt to identify these hate speech spreaders by finding a representation for each user. Each user’s comments are aggregated and fed to an auto-encod…
Deep Neural Networks for Location Reference Identification From Bilingual Disaster-Related Tweets
Twitter is increasingly being used during disasters to communicate with authorities, ascertain the ground reality, and coordinate real-time rescue and recovery activities. Geographical location information about users and events is critical in these scenarios. Geotagged tweets are extremely infrequent, and other location fields, such as user location and place name, are unreliable. The extraction of geographical information from tweet text is lim…
Detecting Disseminators of Hate Speech by Optimizing Textual and User-Based Features
Hate speech through online social media is on the rise, which has attracted researchers across the world to develop models to control its circulation to create better and smarter society. Although several models have been reported to recognize hate speech in the most widely spoken language, the issue has not yet been deemed to be under control. Very few academics have built models to identify hate speech spreaders so that the problem can be manag…
China’s Assertive Escalation in the Indo-Pacific Region and its Repercussions on India-US Relations
In recent decades due to the shift in power balance in the Indo-Pacific region, the region has gained attention from all over the world. The tremendous rise of China, economically and militarily, has altered the status quo in South Asia and raised security concerns in different countries, including India. Moreover, China’s massive growth has also threatened US hegemony in the Western Pacific Region and globally. The paper analyzes China’s recent …
Explainable Bert-LSTM Stacking for Sentiment Analysis of Covid-19 Vaccination
Many people have been severely affected by the COVID-19 pandemic, which has caused intense anxiety, fear, and complex feelings or emotions. People’s emotions have changed and become more complicated since coronavirus vaccinations were introduced. Sentiment analysis of COVID-19 vaccination is critical for understanding public perception, vaccine hesitancy, monitoring vaccine impact, identifying adverse reactions, making policies, and allocating re…
The I2U2
In the present era, the concept of minilateralism has emerged as an essential instrument of the attainment of a country’s strategic interests. Consequently, the global world is shifting from multilateral alliances to minilateral groupings. The article analyzes the emergence of a minilateral construct and the formation of minilateral platform I2U2. The newly established quadrilateral group I2U2, which includes India, Israel, the UAE and the United…
Local explainability-based model for clickbait spoiler generation
Fine-Grained Visual Aspects in Genre Prediction
In this study, we investigate the role of visual content in accurately predicting movie genres. By extracting keyframes from Hindi, Bengali, Malayalam, and Telugu language-based Indian movie trailers in the Flickscore dataset, we analyse visual elements using visual language model (VLM) and Large Language Models (LLMs). Our approach focuses on the FAMOS aspects (focus, action, mood, object, setting) to understand the movie’s theme, summary, and g…
Computer Science (9 works) · Artificial Intelligence (8 works) · Natural language processing (7 works) · Misinformation and Its Impacts (4 works) · World Wide Web (4 works) · Psychology (3 works) · Social media (3 works) · Speech recognition (3 works) · Authorship Attribution and Profiling (2 works) · Biology (2 works)