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Titlebook: New Frontiers in Textual Data Analysis; Giuseppe Giordano,Michelangelo Misuraca Conference proceedings 2024 The Editor(s) (if applicable)

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New Frontiers in Textual Data Analysis978-3-031-55917-4Series ISSN 1431-8814 Series E-ISSN 2198-3321
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Symmetric Non-negative Matrix Factorization for Analyzing the Scientific Production on Day Surgeryinternational production is focused on hospital management and pre- and postoperative conditions for the patient, while the Italian production, based on the treatment of procedures performed in day surgery, especially on older adults’ patients.
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Multichannel Convolutional Transformer and Intertextuality: A Latin Case Study highlight complex linguistic patterns as features responsible for the classification decision. We consider these patterns as new categories of intertextuality traces, complementary to the existing ones.
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Conference proceedings 2024t begins by focusing on statistical methods, and then moves on to problems in quantitative language processing. After discussing the challenging task of text mining in relation to emotional and sentiment analyses, the book concludes with a collection of studies in the social sciences and public heal
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Predicting Customer Satisfaction by Amazon Reviews: The Bluetooth Earphones Examplen and a classification tree approach. We employ both the whole sample and a selection of 1- and 5-star rating reviews (which boosts accuracy by over 77%). In this way, we manage to rank extracted topics by their predictive value of customer feedback, which is potentially very useful to improve customer satisfaction in a text-driven way.
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Social Media Effects on Sales: Consumer Sentiment in a State-Space ModelT 500L (21,495 tweets) from August 1, 2012, to December 31, 2018. We analyze the monthly sales volume for Gentilini biscuits and FIAT L500 for the same period. The results show that our models seem to outperform the ETS-AAA benchmarks.
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Automatic Retrieving of Derived Quechua Verbs of multi-suffixation of verbs (derived by a combination of two or more suffixes) in everyday life communication? b. Is there a notable difference in this phenomenon between written and oral communication?
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Deep Learning As an Aid to Text Mining in the Choice of Texts to Lemmatise for a Comparison Corpus: en both methods seems promising, and the areas of activation in the deep learning model even suggest a recognition of complex linguistic patterns that Peter possibly shares with some of his predecessors.
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Automatic Genre Classification of Czech Texts Based on Syntactic Functionse balanced corpus of contemporary written Czech SYN2020 is used as the language material. The distances between texts are calculated by the Cosine Delta method and then hierarchical cluster analysis is performed. The results indicate that syntactic functions can contribute to automatic genre classification based on large empirical language data.
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