This paper describes an approach for network text analysis and visualization for collaboratively edited documents. It incorporates network extraction from texts where nodes represent concepts identified from the words in the text and the edges represent relations between the concepts. The visualization of the concept networks depicts the general structure of the underlying text in a compact way...

Searching for a pattern in a text file is a very common operation in many applications ranging from text editors and databases to applications in molecular biology. In many instances the pattern does not appear in the text exactly. Errors in the text or in the query can result from misspelling or from experimental errors (e.g., when the text is a DNA sequence). The use of such approximate patte...

Chinese Electronic Medical Records (EMRs) contains a large number of complex medical free text which includes a variety of information, such as temporal information, patients' symptoms and laboratory data. However, as an important knowledge base, these unstructured text data in EMR are hard to process directly by computer to support further medical research. This paper proposes a novel text str...

Automatic detection of text blocks is an important step before applying OCR or word-spotting techniques to document images. Our approach focusses on handwritten (historical) documents and uses the Gabor Transformation to facilitate this task. Apart from the main text, which often consists of rectangular shaped text blocks, marginalia are of special interest here. These areas are generally uncon...

Searching for a pattern in a text file is a very common operation in many applications ranging from text editor sand databases to applications in molecular biology. In many instances the pattern does not appear in the text exactly. Errors in the text or in the query can result from misspelling or from experimental errors (e.g., when the text is a DNA sequence). The use of such approximate patte...

Text is commonly printed on a complex background. Segmenting text is an important part in document analysis. In the past some methods have been shown for the segmentation of texts with images. However, previous studies have not sufficiently addressed complex compound documents. This investigation presents an algorithm for the segmentation of text in various document images. The proposed segment...

Green bonds are financial assets similar to classic debt securities used finance sustainable investments. Given this, they a long-term investment alternative that effectively contributes the planet’s future by preserving environment and encouraging development. This research encompasses rich dataset of equity bond sectors, general indices, S&P Bond Index. We estimate permutation entropy [Fo...

Black-box complexity theory provides lower bounds for the runtime of black-box optimizers like evolutionary algorithms and other search heuristics and serves as an inspiration for the design of new genetic algorithms. Several black-box models covering different classes of algorithms exist, each highlighting a different aspect of the algorithms under considerations. In this work we add to the ex...

Free-text answers assessment has been a field of interest during the last 50 years. Several free-text answers assessment tools underpinned by different techniques have been developed. In most cases the complexity of the underpinned techniques has caused those tools to be designed and developed as standalone tools. The rationales behind using computers to assist learning assessment are mainly to...

Container name extraction is very important to the modern container management system.Similar techniques have been suggested for vehicle license plate recognition in past decades.Container name extraction has more complexity from license plate extraction because of the severity of nonuniform illumination and invalidation of color information.The main purpose of this paper is to propose a new me...