Tutto DSpace

Sfoglia per Soggetto "Sentiment analysis"

Items 1-7 di 7

    • 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 ...

    • Efficient big data analysis on a single machine using apache spark and self-organizing map libraries 

      Andresic D., Saloun P., Anagnostopoulos I. (2017)
      Apache Spark is commonly used as a big data analytical platform on powerful computer clusters, as it primarily employ the main computer memory for the evaluation. Our attempt adds self-organizing map software libraries ...

    • Ensemble deep learning for multilabel binary classification of user-generated content 

      Haralabopoulos G., Anagnostopoulos I., McAuley D. (2020)
      Sentiment analysis usually refers to the analysis of human-generated content via a polarity filter. Affective computing deals with the exact emotions conveyed through information. Emotional information most frequently ...

    • Real Time Sentiment Change Detection of Twitter Data Streams 

      Tasoulis S.K., Vrahatis A.G., Georgakopoulos S.V., Plagianakos V.P. (2018)
      In the past few years, there has been a huge growth in Twitter sentiment analysis having already provided a fair amount of research on sentiment detection of public opinion among Twitter users. Given the fact that Twitter ...

    • A Scalable Framework for Customer Sentiment Analysis in the Telecommunication Industry 

      Skoularikis K., Savvas I.K., Garani G., Kakarontzas G. (2021)
      Big Data explosion is a phenomenon of the 21st century. Nowadays, more and more people are using the internet and creating new data regarding ideas, opinions, feelings or their views on a variety of topics and products. ...

    • Sentiment analysis from sound spectrograms via soft BOVW and temporal structure modelling 

      Pikramenos G., Smyrnis G., Vernikos I., Konidaris T., Spyrou E., Perantonis S. (2020)
      Monitoring and analysis of human sentiments is currently one of the hottest research topics in the field of human-computer interaction, having many applications. However, in order to become practical in daily life, sentiment ...

    • Text Analysis of COVID-19 Tweets 

      Theocharopoulos P.C., Tsoukala A., Georgakopoulos S.V., Tasoulis S.K., Plagianakos V.P. (2022)
      During the COVID-19 pandemic many countries were forced to implement lockdowns to prevent further spread of the SARS-CoV-2, prohibiting people from face-to-face social interactions. This unprecedented circumstance led to ...