This thesis tries to answer the question how to predict the reaction of the stock market to news articles using the latest suitable developments in Natural Language Processing. This is done using text classification where a new article is matched to a category of articles which have a certain influence on the stock price. The thesis first discusses why analysis of news articles is a feasible ap...

In the last decade, there have been advances in machine learning performance various domains, including image classification, natural language processing, and speech recognition. The increase size of training data is essential for improvement these domains. two ways to larger sets are acquiring more original employing effective augmentation techniques. However, stock prediction studies, sizes d...

Cloud computing is rapidly expanding because it allows users to save the development and implementation time on their work. It also reduces maintenance operational costs of used systems. Furthermore, enables elastic use any resource rather than estimating workload, which may be inaccurate, as database systems can benefit from such a trend. In this paper, we propose an algorithm that allocates m...

ground penetrating radar (gpr) is one of high resolution geophysical methods for locating missed objects, buried equipments. gpr is a nondestructive testing method that is useful in various kinds of explorations such as mapping the archaeological sites. the safety of the archaeological sites is one of the most concerns of the archaeologists. one of the best gpr applications is in archaeology as...