A Proposed Model for Stock Price Prediction Based on Financial News

In this paper we will propose a model and needed steps that one should undertake in order to try and predict potential stock price fluctuation solely based on financial news from relevant sources. The paper will start with providing background information on the problem and text mining in general, furthermore supporting the idea with relevant research papers needed to focus on the problem we are researching. Our model relies on existing text-mining techniques used for sentiment analysis, combined with historical data from relevant news sources as well as stock data. This work is licensed under a&nbsp;Creative Commons Attribution-NonCommercial 4.0 International License.</p

Towards Intelligent Disaster Response Systems

Next Generation Incident Response System (NICS) is a platform developed by MIT Lincoln Lab that is currently being used in Macedonia by the Centre for Crisis Management (CCM). It allows coordination during natural disasters between first responders of various departments and allows them to use state of the art tools to communicate and share information. This research focuses on advancing the platform by introducing intelligent agents to the platform, based on machine learning techniques and natural language processing. Our goal is to leverage data generated in social media and feed NICS with automatically processed information from these media categorized in twelve different needs (categories). This paper presents the current state of our research, preliminary results and final goals. This work is licensed under a&nbsp;Creative Commons Attribution-NonCommercial 4.0 International License.</p

A Proposed Model for Stock Price Prediction Based on Financial News

In this paper we will propose a model and needed steps that one should undertake in order to try and predict potential stock price fluctuation solely based on financial news from relevant sources. The paper will start with providing background information on the problem and text mining in general, furthermore supporting the idea with relevant research papers needed to focus on the problem we are researching. Our model relies on existing text-mining techniques used for sentiment analysis, combined with historical data from relevant news sources as well as stock data. This work is licensed under a&nbsp;Creative Commons Attribution-NonCommercial 4.0 International License.</p

Technology: COVID-19 and the ‘New-Normal’ Lifestyle vs. Security Challenges

In the last period, especially during the COVID-19 pandemics, individuals as well as institutions globally and in North Macedonia particularly, have failed to correctly respond to the new challenges related to cyber security, online attacks, and fake news. Being that in a state of isolation and quarantine most governmental institutions have heavily relied on online tools to communicate among each other and with the public, it is quite evident that they have not been well prepared to adopt new technologies. This paper aims to bridge together the needs for technology during the COVID-19 pandemics versus the security challenges that many forget to mention. The primary focus of this paper is to elaborate on the security challenges associated with technology with several examples from incidents around the world and from North Macedonia. As such, it represents a perspective paper with focus on current and emerging advances on IT security for running the “new normal” world

Customized Software Testing Framework for Web Applications

Software testing is gaining more attention and investments in the IT companies. We have both manual and automated approaches, considering the dynamic of the project the appropriate one is chosen. There have been presented and used several frameworks and tools for this purpose. However, the outcome is that a single tool does not cover all the testing needs of IT systems. In this paper, we will present a customized framework based in Selenium that tackle this gap within the IT systems where several modules with many cross function are involved. We will present the architecture overview and a case stud