• A comparable study employing weka clustering/classification algorithms for web page classification 

      Charalampopoulos, I.; Anagnostopoulos, I. (2011)
      Documents and web pages share many similarities. Thus classification methods used in documents can be applied to advanced web content, with or even without modifications. Algorithms for document and web classification are ...
    • A comparison over focused web crawling strategies 

      Avraam, I.; Anagnostopoulos, I. (2011)
      In this paper we review and compare focused crawling strategies, studied and published during the past decade. Despite giant leaps in communication, storage and computing power in recent years, crawlers have always struggled ...
    • Convolutional neural networks for toxic comment classification 

      Georgakopoulos S.V., Vrahatis A.G., Tasoulis S.K., Plagianakos V.P. (2018)
      Flood of information is produced in a daily basis through the global internet usage arising from the online interactive communications among users. While this situation contributes significantly to the quality of human ...
    • Crowd Sourcing as an Improvement of N-Grams Text Document Classification Algorithm 

      Saloun P., Andrsic D., Cigankova B., Anagnostopoulos I. (2020)
      A common task in a world of natural language processing is text classification useful for e.g.spam filters, documents sorting, science articles classification or plagiarism detection. This can still be done best and most ...
    • A Custom State LSTM Cell for Text Classification Tasks 

      Haralabopoulos G., Anagnostopoulos I. (2022)
      Text classification is the task of assigning a class to a document. Machine Learning enables the automation of Text Classification Tasks, amongst others. Recent advances in the Machine Learning field, such as the introduction ...