Recent Trends in Programming languages
Volume 10, Issue 3 (2023)
Published
Table of contents
-
A Comprehensive Review on Python based NLP Approaches for Sentiment Analysis
Abstract: Sentiment analysis, also known as opinion mining, is a burgeoning field in natural language processing that involves the computational analysis of textual data to determine and quantify the sentiment expressed within. This study presents a comprehensive exploration of sentiment analysis using Python, focusing on techniques, methodologies, and tools that enable the extraction of sentiment polarity from diverse textual sources. The review commences with an overview of the importance of sentiment …
Published in Recent Trends in Programming languages · Vol. 10, Issue 3, 2023 · pp. 1–7 Read article
-
From Text to Revolution: Unfolding ChatGPT's Impact on Library Services
Abstract: This study explores ChatGPT, an advanced language model by OpenAI, and its potential to revolutionize library services. In order to arouse interest in the opportunities it presents, we examine the advantages, difficulties, and ethical issues associated with incorporating ChatGPT into libraries.As we illustrate ChatGPT's technology, we are able to see how well it performs on various language-based tasks. As a result, the user experience for library reference services will be …
Published in Recent Trends in Programming languages · Vol. 10, Issue 3, 2023 · pp. 15–20 Read article
-
AI Impact: Unpacking Brain Duplication in Everyday Life
Abstract: Brain duplication technique is impactful in several industries to reduce the cost and human efforts. Ai-based systems are being implemented in education, health, technology, manufacturing, production and other sectors. Hence, the following work has developed a clear understanding of the brain duplication technique and its impact on human activities.The essential elements have encapsulated the utilization of computer algorithms like machine learning, natural language processing, deep learning, and similar technologies.Hence, the …
Published in Recent Trends in Programming languages · Vol. 10, Issue 3, 2023 · pp. 21–26 Read article
-
A Review: Identification of Credit Card Fraud Using Machine Learning and Anomaly Detection Approach’s on Imbalanced Data
Abstract: Credit cards are among the most widely used payment methods in today's culture, and online purchases have become quite popular. Credit card fraud has emerged as a problem in this industry as a direct result of its popularity. The issue of credit card fraud is becoming a global problem. Credit card fraud has increased due to the widespread use of these payment methods. Thanks to credit card use, e-commerce has …
Published in Recent Trends in Programming languages · Vol. 10, Issue 3, 2023 · pp. 27–40 Read article
-
The Evolution of Programming Languages: A Survey from Early Achievements to Modern Advancements
Abstract: Programming languages are fundamental to software development, providing the means for developers to communicate instructions to computers. This study provides a broad overview of programming languages and their history, classifications, key elements, the compiler and interpreter systems that implement them, and notable trends driving innovation. It examines imperative, object-oriented, functional, logical, and scripting languages while exploring syntax, semantics, typing systems, abstraction, variables and bindings, control flow, and runtime environment considerations. …
Published in Recent Trends in Programming languages · Vol. 10, Issue 3, 2023 · pp. 8–14 Read article