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      Retracted: Analysis of the Relevance Environment between Marxist Philosophy and System Theory Based on Deep Learning

      retraction
      Journal of Environmental and Public Health
      Hindawi

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          Abstract

          This article has been retracted by Hindawi following an investigation undertaken by the publisher [1]. This investigation has uncovered evidence of one or more of the following indicators of systematic manipulation of the publication process: Discrepancies in scope Discrepancies in the description of the research reported Discrepancies between the availability of data and the research described Inappropriate citations Incoherent, meaningless and/or irrelevant content included in the article Peer-review manipulation The presence of these indicators undermines our confidence in the integrity of the article's content and we cannot, therefore, vouch for its reliability. Please note that this notice is intended solely to alert readers that the content of this article is unreliable. We have not investigated whether the authors were aware of or involved in the systematic manipulation of the publication process. Wiley and Hindawi regrets that the usual quality checks did not identify these issues before publication and have since put additional measures in place to safeguard research integrity. We wish to credit our own Research Integrity and Research Publishing teams and anonymous and named external researchers and research integrity experts for contributing to this investigation. The corresponding author, as the representative of all authors, has been given the opportunity to register their agreement or disagreement to this retraction. We have kept a record of any response received.

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          • Abstract: found
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          Analysis of the Relevance Environment between Marxist Philosophy and System Theory Based on Deep Learning

          In social science and natural science, MP (Marxist Philosophy) has played an active role in promoting its development, and MP also guides people's practice and understanding. There is an inevitable connection with system theory MP. In a sense, both system theory and PMbelong to methodology and both contain the viewpoints of movement and development. In this paper, various text features in natural scenes are discussed in detail, and the original vector is studied by using CNN (Convective Neural Network) of DL (Deep Learning), so as to construct a one-dimensional text vector and realize the mutual influence and continuous optimization of feature extraction and text clustering. The experimental results show that under the condition of calculating the current cosine similarity measure, the accuracy rate is the highest, reaching 93.67%. This algorithm can effectively improve its performance in text classification tasks on large data sets.
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            Author and article information

            Contributors
            Journal
            J Environ Public Health
            J Environ Public Health
            jeph
            Journal of Environmental and Public Health
            Hindawi
            1687-9805
            1687-9813
            2023
            28 June 2023
            28 June 2023
            : 2023
            : 9796841
            Affiliations
            Article
            10.1155/2023/9796841
            10322554
            e21cdbee-0305-43ba-b347-9c6e79ecea80
            Copyright © 2023 Journal of Environmental and Public Health.

            This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

            History
            : 27 June 2023
            : 27 June 2023
            Categories
            Retraction

            Public health
            Public health

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