A5009822257- Sentiment Analysis and Opinion Mining
- Complex Network Analysis Techniques
- Topic Modeling
- Advanced Text Analysis Techniques
- Web Data Mining and Analysis
- Hate Speech and Cyberbullying Detection
- Recommender Systems and Techniques
- Spam and Phishing Detection
- Multimodal Machine Learning Applications
- Misinformation and Its Impacts
- Opinion Dynamics and Social Influence
- Insect and Pesticide Research
- Plant and animal studies
- Mental Health via Writing
- Caching and Content Delivery
- Digital Marketing and Social Media
- Bee Products Chemical Analysis
- Image Retrieval and Classification Techniques
- Expert finding and Q&A systems
- AI in cancer detection
- Text and Document Classification Technologies
- Human Pose and Action Recognition
- Smart Agriculture and AI
- COVID-19 diagnosis using AI
- Natural Language Processing Techniques
Indian Institute of Technology Indore
2020-2025
Koneru Lakshmaiah Education Foundation
2024
Indian Council of Agricultural Research
2024
Birla Institute of Technology and Science - Hyderabad Campus
2021
Indian Institute of Technology Hyderabad
2017-2019
The recent coronavirus disease (COVID-19) has become a pandemic and affected the entire globe. During pandemic, we have observed spike in cases related to mental health, such as anxiety, stress, depression. Depression significantly influences most diseases worldwide, making it difficult detect health conditions people due unawareness unwillingness consult doctor. However, nowadays, extensively use online social media platforms express their emotions thoughts. Hence, are now becoming large...
Mamba, a special case of the State Space Model, is gaining popularity as an alternative to template-based deep learning approaches in medical image analysis. While transformers are powerful architectures, they have drawbacks, including quadratic computational complexity and inability address long-range dependencies efficiently. This limitation affects analysis large complex datasets imaging, where there many spatial temporal relationships. In contrast, Mamba offers benefits that make it...
Context: Automatic tag recommendation is crucial for content understanding and retrieval on software information sites. Existing approaches formulate as either multi-label classification problem or sentence matching. However, by treating tags independent labels, neglects the semantic relationships dependencies between them, leading to inconsistent recommendations. Sentence matching techniques, which rely lexical similarity, fail capture contextual broader meaning. Moreover, several works...
Users share information on social media platforms by posting visual and textual contents. Due to the massive influx of user-generated content, hashtags are extensively used manage, organize, categorize content. Despite usability hashtags, many users refrain from assigning their posts owing uncertainty in choosing appropriate hashtags. Several methods have been proposed recommend using content-based information. However, multimodality personalization aspects hashtag recommendation rarely...
With the advent of Internet, social media platforms have witnessed an enormous increase in user-generated textual and visual content. Microblogs on such as Twitter are extremely useful for comprehending how individuals feel about a specific issue through their posted texts, images, videos. Owing to plethora content generated, it is necessary derive insight its emotional sentimental inclination. Individuals express themselves variety languages and, lately, number people preferring native has...