Varun Dogra | LOVELY PROFESSIONAL UNIVERSITY (original) (raw)

Papers by Varun Dogra

Systems

This is an effort to analyze the reaction of stock prices of Indian public and private banks list... more This is an effort to analyze the reaction of stock prices of Indian public and private banks listed in NSE and BSE to the announcement of seven best case news events. Several recent studies have analyzed the correlation between stock prices and news announcements; however, there is no evidence on how private and public sector Indian bank stocks react to important news events independently. We examine these features by concentrating on a sample of banking and government news events. We classify these news events to create a group of negative and a group of positive tone of announcements (sentiments). The statistical results show that the negative banking news announcements had a one-month impact on private banks, with statistically significant negative mean CARs. However, with highly statistically substantial negative mean CARs, the influence of the negative banking news announcements on public banks was observed for two months after the news was published. Furthermore, the influence...

International journal of health sciences

The article is an idea and approach to describe a web platform, "AAPNA Library: A Web App So... more The article is an idea and approach to describe a web platform, "AAPNA Library: A Web App Solution for Sharing and Borrowing Used Books", which may be designed to spread information about the books which are expected to be given by different individuals and to discover a place where these books can be utilized by the users who need them. The web app will maintain databases of given books which may incorporate textbooks, reference books, competitive exam-related books, etc. Numerous poor students may benefit from this website. AAPNA Library will maximize the utilization of used books and help the poor people to get their books for free, on the off chance that any of the donated books match their request.

The process of training model in supervised machine learning is more difficult than expected due ... more The process of training model in supervised machine learning is more difficult than expected due to the challenges in labeling and annotating data. It has observed that majority of the organization dealing in Artificial Intelligence projects have run in to problems with labeling data to train models. Labeling is commonly done manually by domain experts, which is time consuming task. Many authors have given different approaches to reduce the burden of manual labeling. However, all approaches have been facing different challenges due to increasing volume and shape of the data which further degrades the performance of automation. In order to produce quality in AI projects, the training data must be correctly labelled. The paper presents various challenges and opportunities occur in dealing with unstructured textual data for labeling to produce training data at the expected quality. The paper would also help the readers or scholars to purse their research projects in the area of text an...

Intelligent Computing and Innovation on Data Science, 2021

Computational Intelligence and Neuroscience

With the rapid advancement of information technology, online information has been exponentially g... more With the rapid advancement of information technology, online information has been exponentially growing day by day, especially in the form of text documents such as news events, company reports, reviews on products, stocks-related reports, medical reports, tweets, and so on. Due to this, online monitoring and text mining has become a prominent task. During the past decade, significant efforts have been made on mining text documents using machine and deep learning models such as supervised, semisupervised, and unsupervised. Our area of the discussion covers state-of-the-art learning models for text mining or solving various challenging NLP (natural language processing) problems using the classification of texts. This paper summarizes several machine learning and deep learning algorithms used in text classification with their advantages and shortcomings. This paper would also help the readers understand various subtasks, along with old and recent literature, required during the proces...

Mathematics, Dec 20, 2021

A special debt of gratitude and appreciations are due to Prof. John F. Healey who has generously ... more A special debt of gratitude and appreciations are due to Prof. John F. Healey who has generously helped me in my work on this book, with advice and suggestions or by sending recent offprints, or drawn my attention to important publications and unpublished material. He also read the entire manuscript with a view to improving the English. My cordial thanks are due to colleagues and friends for their help, particularly Mr Bahaa al-Jubouri,

Journal of Evolution of Medical and Dental Sciences

BACKGROUND Vermiform appendix is a narrow, worm-shaped tube which springs from the posteromedial ... more BACKGROUND Vermiform appendix is a narrow, worm-shaped tube which springs from the posteromedial wall of the caecum. It participates in the secretion of immunoglobulin, particularly IgA. Acute appendicitis is the most common surgical emergency with an annual incidence in the USA of 9.38 per 100,000. Arriving at the correct diagnosis is essential; however, a delay may allow progression to perforation and significantly increased morbidity and mortality. Aims and Objectives-We aim to study the efficacy of Modified Alvarado Scoring system versus Ultrasonography in adults to decrease the number of negative appendectomies. MATERIALS AND METHODS The study "Observational Study of Diagnostic Accuracy of Modified Alvarado Score and Ultrasonography in Acute Appendicitis in Adults" is a prospective observational study, which comprised of 200 patients above the age of 16, admitted in the Department of Surgery, Government Medical College, Srinagar with a provisional diagnosis of Acute Appendicitis. Sensitivity, Specificity, Predictive value for Positive and Negative tests and Accuracy of each diagnostic modality were worked out and compared with histopathological outcome. RESULTS We found that Modified Alvarado Score had the best Sensitivity, Specificity, Positive Predictive Value and Negative Predictive Value. However, Specificity of Total Leukocyte Count was equal to that of Modified Alvarado, but it had the least sensitivity and accuracy. Ultrasonography has the highest accuracy, which was comparable to that of Modified Alvarado Score. Ultrasonography on the other hand had the least Specificity, Positive Predictive Value and Negative Predictive Value. CONCLUSION Modified Alvarado and ultrasonography should be used together in surgical emergency for diagnosing cases of acute appendicitis.

This paper discusses a novel hybrid approach to text classification that integrates a machine lea... more This paper discusses a novel hybrid approach to text classification that integrates a machine learning algorithm along with DistilBERT, a pre-trained deep learning framework for natural language processing, offers a base model fine-tuned on Indian Banking News-Events with a rule-based method that is used by filtering false positives and dealing with false negatives to enhance the results given by the previous classifier. The major benefit is that by incorporating unique rules for certain chaotic or overlapping categories that have not been effectively trained, the system can be quickly fine-tuned. This research also compares the effectiveness of state-of-art deep contextual language representation DistilBERT used in our proposed hybrid model with the most preferred context independent language representation TFIDF, on supervised learning of the classification of multiclass Banking News-Events. Both representations are fed into the machine learning classifiers, Logistic Regression, L...