A5075104163- Sentiment Analysis and Opinion Mining
- Advanced Text Analysis Techniques
- Stock Market Forecasting Methods
- Topic Modeling
- Text and Document Classification Technologies
- Financial Distress and Bankruptcy Prediction
- Risk Management in Financial Firms
- Imbalanced Data Classification Techniques
- Service-Oriented Architecture and Web Services
- Insurance and Financial Risk Management
- ICT in Developing Communities
- Currency Recognition and Detection
- Market Dynamics and Volatility
- Internet of Things and AI
- Digital Accessibility for Disabilities
- Web Application Security Vulnerabilities
- Data Quality and Management
- QR Code Applications and Technologies
- Algorithms and Data Compression
- IoT and Edge/Fog Computing
- Forecasting Techniques and Applications
- Handwritten Text Recognition Techniques
- Advanced Neural Network Applications
- COVID-19 diagnosis using AI
- Non-Invasive Vital Sign Monitoring
Lovely Professional University
2021-2024
Online portals provide an enormous amount of news articles every day.Over the years, numerous studies have concluded that events a significant impact on forecasting and interpreting movement stock prices.The creation framework for storing news-articles collecting information specific domains is important untested problem Indian market.When online produce financial about many subjects simultaneously, finding are to domain nontrivial.A critical component aforementioned system should,...
The introduction of pre-trained large language models (LLMs) has transformed NLP by fine-tuning task-specific datasets, enabling notable advancements in news classification, translation, and sentiment analysis. This revolutionized the field, driving remarkable breakthroughs progress. However, growing recognition bias textual data emerged as a critical focus community, revealing inherent limitations trained on specific datasets. LLMs exploit these dataset biases artifacts expedient shortcuts...
This paper discusses a novel hybrid approach to text classification that integrates machine learning algorithm along with DistilBERT, pre-trained deep framework for natural language processing, offers base model fine-tuned on Indian Banking News-Events rule-based method is used by filtering false positives and dealing negatives enhance the results given previous classifier. The major benefit incorporating unique rules certain chaotic or overlapping categories have not been effectively...
This is an effort to analyze the reaction of stock prices Indian public and private banks listed in NSE BSE announcement seven best case news events. Several recent studies have analyzed correlation between announcements; however, there no evidence on how sector bank stocks react important events independently. We examine these features by concentrating a sample banking government classify create group negative positive tone announcements (sentiments). The statistical results show that had...
Machine learning has grown in popularity recent years as a method for evaluating financial text data, with promising results stock price projection from news. Various research looked at the relationship between news events and prices, but there is little evidence on how different sentiments (negative, neutral, positive) of such impact performance stocks or indices comparison to benchmark indices. The goal this paper analyze specific banking event (such fraud bank merger) other co-related...
Implementing a healthcare monitoring system based on IoT technology can effectively tackle situation like current epidemic. The field has experienced significant growth in the industry, with wearable sensors and smartphones contributing to remote health monitoring. Machine Learning algorithms prevent disease spread provide accurate diagnoses, even without physician. This study proposes portable physiological device that monitors vitals body heat heart rate. uses communication Wi-Fi modules...
Convolutional Neural Networks (CNNs) and deep learning are responsible for the quick advancement of computer vision. A crucial task in vision is object localization, which involves identifying finding objects within images. In this study, we propose an localization method using a TensorFlow CNN model. proposed method, model trained on specific dataset images containing emojis with annotations locations it to predict test The performance evaluated validation set, achieving mean intersection...
The article is an idea and approach to describe a web platform, "AAPNA Library: A Web App Solution for Sharing Borrowing Used Books", which may be designed spread information about the books are expected given by different individuals discover place where these can utilized users who need them. app will maintain databases of incorporate textbooks, reference books, competitive exam-related etc. Numerous poor students benefit from this website. AAPNA Library maximize utilization used help...