International Journal of Computer Science Languages

Latest articles

• Published Subscription Review Article 8 May 2026

  Real-Time Browser-Based Early Warning System for Cyberbullying Detection in Online Platforms

  By Sonal Sharma, Manish Singh, Pratham Singh

  Abstract: The rise in social networking through internet-based communication tools, Instagram, and YouTube, to name a few, significantly increases the risk of cyberbullying, thereby increasing psychological trauma on users, especially children, through adverse emotional states like anxiety, depression, etc. For a long time, researchers have been enhancing detection tools to counter cyberbullying, but their ability to detect only after the fact, along with limited support for English-based architecture, is a major …

  Published in International Journal of Computer Science Languages · Vol. 4, Issue 1, 2026 · pp. 09–15 Read article →

• Published Subscription Review Article 27 Apr 2026

  Optimized Sentiment Analysis Through TextBlob and Hybrid RNN Models

  By Pulkit Tiwari, Bhavna Sharma

  Abstract: In today’s world, analyzing people’s feelings from what they write online has become very important. This is because there is a large amount of content created by users. To make this analysis accurate and fast, we present a method. This method uses a mix of two approaches: one that looks up words in a dictionary and another that uses computer learning. TextBlob is an affordable tool for getting an initial …

  Published in International Journal of Computer Science Languages · Vol. 4, Issue 1, 2026 · pp. 29–28 Read article →

• Published Subscription Review Article 27 Apr 2026

  The Evolution of Computer Languages: Fundamentals, Paradigms, and Consequences

  By V. Basil Hans

  Abstract: In today’s society, computers are important tools because they let us quickly analyze, store, and share information. A variety of programming languages that let people talk to machines are at the heart of how computers work. These languages, which are divided into low-level and high-level kinds, connect human logic and machine actions. Low-level languages such as machine code and assembly allow direct interaction with computer hardware. In contrast, high-level languages …

  Published in International Journal of Computer Science Languages · Vol. 4, Issue 1, 2026 · pp. 16–28 Read article →

• Published Subscription Original Research 27 Apr 2026

  Comparative Study of BERT Variants for Sentiment Analysis with Error Analysis

  By Deepshikha Prajapati, Shruti Prajapati, Thara Chakkingal

  Abstract: The use of media is going up fast in India, and this has led to the rise of Hinglish. Hinglish is an informal blend of Hindi and English that people commonly use in everyday conversations, especially across social media platforms such as Twitter, Facebook, and WhatsApp. People use Hinglish to talk to each other in a way that is not very formal. Hinglish blends English vocabulary with informal usage, often …

  Published in International Journal of Computer Science Languages · Vol. 4, Issue 1, 2026 · pp. 39–48 Read article →

• Published Subscription Original Research 27 Apr 2026

  Understanding Sentiment Trends Through Zero-Shot and Few-Shot Learning Models

  By Kinjal Doshi, Falguni Parsana

  Abstract: The requirement for large, manually labeled datasets is one of the main barriers to applying sentiment analysis algorithms in specialized or rapidly evolving disciplines in the present natural language processing (NLP) landscape. This work investigates a paradigm shift from traditional fully supervised learning to data-efficient methods, specifically zero-shot learning (ZSL) and few-shot learning (FSL). This study uses the advanced capabilities of instruction-tuned large language models (LLMs), like GPT-4, to assess …

  Published in International Journal of Computer Science Languages · Vol. 4, Issue 1, 2026 · pp. 01–08 Read article →

• Published Subscription Review Article 8 Sep 2025

  AI-Powered Multilingual Mental Health Chatbot with Personalized Voice and Text Support on Streamlit

  By Sharmila G., Aiswarya Raj, Prithiga R., Sasi Aditi G.K., Shree Nithi C.

  Abstract: Mental health concerns are increasingly recognized as one of the most pressing global challenges, with millions of people struggling to access timely, affordable, and personalized support. Barriers such as stigma, lack of professional availability, language differences, and geographical limitations often prevent individuals from seeking help when they need it most. To address this critical gap, this study introduces MindMate, an AI-powered multilingual chatbot specifically designed to provide both text-based and …

  Published in International Journal of Computer Science Languages · Vol. 3, Issue 2, 2025 · pp. 40–50 Read article →

• Published Subscription Original Research 8 Sep 2025

  Virtual Assistant: JarvisAI Using Natural Language Processing

  By Anamika Rana, Sushma Malik, Gaurav Sehgal, Khushi Malhotra

  Abstract: This research presents the development of a voice-interactive virtual assistant built upon the JarvisAI framework, integrating advanced technologies such as Natural Language Processing (NLP), Machine Learning (ML), and Speech Recognition. The goal is to enable seamless and intuitive human-computer interaction by allowing users to communicate through natural spoken and written language. The assistant is designed to understand, interpret, and respond to various user commands, aiding in tasks such as information …

  Published in International Journal of Computer Science Languages · Vol. 3, Issue 2, 2025 · pp. 26–39 Read article →

• Published Subscription Review Article 8 Sep 2025

  NOVA: The Virtual Desktop Assistant

  By Atharva Vijay Padalkar

  Abstract: This research work details the design, development, and implementation of a voice-controlled desktop assistant aimed at streamlining everyday tasks and boosting user productivity. The assistant seamlessly integrates with various desktop applications and core operating system functions to automate routine operations, deliver relevant contextual information, and provide personalized suggestions based on observed user behavior and preferences. A standout feature of the system is its ability to monitor user activity levels and …

  Published in International Journal of Computer Science Languages · Vol. 3, Issue 2, 2025 · pp. 19–25 Read article →

All 35 articles in this journal →