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This article reviews the state of archival science where basic concepts have been subject to a long stream of criticisms without satisfactory resolution of the issues identified. It establishes a ground for progress by articulating criteria for evaluating archival concepts and proposes a path forward by enriching archival science with concepts and methods from systemic functional linguistics and graph...
Product reviews contain a lot of useful information about product features and customer opinions. One important product feature is the complementary entity (products) that may potentially work together with the reviewed product. Knowing complementary entities of the reviewed product is very important because customers want to buy compatible products and avoid incompatible ones. In this paper, we address...
Fuzzy information granulation is key to many applications. Fuzzy Inference Systems (FIS) are an important technology in control systems and reasoning. ANFIS, FIS trained with Adaptive Networks, are a promising machine learning method to tackle the so-called data deluge. The heterogeneity and lack of quality control in big-data, however, lead to inhomogeneous, dynamically changing, non-partitioning...
Data is a valuable resource. Proper use of high-quality data can help people make better predictions, analyses and decisions. However, no matter how much effort we put into collecting a good dataset, errors will inevitably creep into the data, making it necessary for data cleaning. This becomes a concern particularly when large-scale heterogeneous data from multiple sources are integrated for other...
Today, user generated content and online shared opinions are gaining relevance as a source of information not only for other consumers but also for retailers. However, the huge number of posted opinions makes difficult any manual analysis. This paper proposes a new approach for gender discourse analysis based on the semantic analysis of the content of shared reviews in electronic word of mouth communities...
Much of the previous work in Big Data has focussed on numerical sources of information. However, with the ‘narrative turn’ in many disciplines gathering pace and commercial organisations beginning to realise the value of their textual assets, natural language data is fast catching up as an exploitable source of information for decision making. With vast quantities of unstructured textual data on the...
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