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ListarUNIR REVISTAS por tema "text mining"

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    • A Feature Extraction Method Based on Feature Fusion and its Application in the Text-Driven Failure Diagnosis Field 

      Zhou, Shenghan; Chen, Bang; Zhang, Yue; Liu, HouXiang; Xiao, Yiyong; Pan, Xing (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2020)
      As a basic task in NLP (Natural Language Processing), feature extraction directly determines the quality of text clustering and text classification. However, the commonly used TF-IDF (Term Frequency & Inverse Document ...

    • A Topic Modeling Guided Approach for Semantic Knowledge Discovery in e-Commerce 

      Anoop, V S; Asharaf, S (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2017)
      The task of mining large unstructured text archives, extracting useful patterns and then organizing them into a knowledgebase has attained a great attention due to its vast array of immediate applications in business. ...

    • Comparative Study of Clustering Algorithms in Text Mining Context 

      JALIL, Abdennour Mohamed; HAFIDI, Imad; ALAMI, Lamiae; ENSA, Khouribga (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2016)
      The spectacular increasing of Data is due to the appearance of networks and smartphones. Amount 42% of world population using internet [1]; have created a problem related of the processing of the data exchanged, which ...

    • Deobfuscating Leetspeak With Deep Learning to Improve Spam Filtering 

      Vélez de Mendizabal, Iñaki; Vidriales, Xabier; Basto-Fernandes, Vitor; Ezpeleta, Enaitz; Méndez, José Ramón; Zurutuza, Urko (International Journal of Interactive Multimedia and Artificial Intelligence, 12/2023)
      The evolution of anti-spam filters has forced spammers to make greater efforts to bypass filters in order to distribute content over networks. The distribution of content encoded in images or the use of Leetspeak are ...

    • Segmentation of Arabic Handwritten Documents into Text Lines using Watershed Transform 

      Boulid, Youssef; Souhar, Abdelghani; Ouagague, Mly.; Ameur, E (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2017)
      A crucial task in character recognition systems is the segmentation of the document into text lines and especially if it is handwritten. When dealing with non-Latin document such as Arabic, the challenge becomes greater ...

    • The Construction Site Management of Concrete Prefabricated Buildings by ISM-ANP Network Structure Model and BIM under Big Data Text Mining Analytic Network Process (ANP) 

      Xu, Guiming (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2020)
      In the construction industry, prefabricated buildings have developed rapidly in recent years due to their various excellent properties. To expand the application of big data text mining and Building Information Model (BIM) ...

    • Topic Models and Fusion Methods: a Union to Improve Text Clustering and Cluster Labeling 

      Pourvali, Mohsen; Orlando, Salvatore; Omidvarborna, Hosna (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2019)
      Topic modeling algorithms are statistical methods that aim to discover the topics running through the text documents. Using topic models in machine learning and text mining is popular due to its applicability in inferring ...