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      Language-model-based pro/con classification of political text

      Awadallah, Rawia; Ramanath, Maya; Weikum, Gerhard (ACM, 2010)
      Given a controversial political topic, our aim is to classify documents debating the topic into pro or con. Our approach extracts topic related terms, pro/con related terms, and pairs of topic related and pro/con related ...
    • LSTM-CNN Deep Learning Model for Sentiment Analysis of Dialectal Arabic

      Abu Kwaik, Kathrein; Saad, Motaz K; Chatzikyriakidis, Stergios; Dobnik, Simon (Springer Science and Business Media LLC, 2019)
      In this paper we investigate the use of Deep Learning (DL) methods for Dialectal Arabic Sentiment Analysis. We propose a DL model that combines long-short term memory (LSTM) with convolutional neural networks (CNN). The ...