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Journal of Computer-Assisted Linguistic Research - Vol 06 (2022)

RiuNet: Repositorio Institucional de la Universidad Politécnica de Valencia

Journal of Computer-Assisted Linguistic Research - Vol 06 (2022)

 
 

Tabla de contenidos


Articles

  • Classifying the Evolving Mask Debate: A Transferable Machine Learning Framework
  • Character Extraction and Character Type Identification from Summarised Story Plots
  • Extracting Features from Textual Data in Class Imbalance Problems
  • Sentiment Analysis and Stance Detection on German YouTube Comments on Gender Diversity
  • A Knowledge-Based Model for Polarity Shifters

Envíos recientes

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    A Knowledge-Based Model for Polarity Shifters 
    Blázquez-López, Yolanda (Universitat Politècnica de València, 2022-11-23)
    [EN] Polarity shifting can be considered one of the most challenging problems in the context of Sentiment Analysis. Polarity shifters, also known as contextual valence shifters (Polanyi and Zaenen 2004), are treated as ...
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    Sentiment Analysis and Stance Detection on German YouTube Comments on Gender Diversity 
    Melnyk, Lidiia; Feld, Linda (Universitat Politècnica de València, 2022-11-23)
    [EN] This paper explores different options of detecting the stance of German YouTube comments regarding the topic of gender diversity and compares the respective results with those of sentiment analysis, showing that these ...
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    Extracting Features from Textual Data in Class Imbalance Problems 
    Aravamuthan, Sarang; Jogalekar, Prasad; Lee, Jonghae (Universitat Politècnica de València, 2022-11-23)
    [EN] We address class imbalance problems. These are classification problems where the target variable is binary, and one class dominates over the other. A central objective in these problems is to identify features that ...
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    Character Extraction and Character Type Identification from Summarised Story Plots 
    Srinivasan, Vardhini; Power, Aurelia (Universitat Politècnica de València, 2022-11-23)
    [EN] Identifying the characters from free-form text and understanding the roles and relationships between them is an evolving area of research. They have a wide range of applications, from summarising narrations to ...
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    Classifying the Evolving Mask Debate: A Transferable Machine Learning Framework 
    Warnken, Julia; Gokhale, Swapna S. (Universitat Politècnica de València, 2022-11-23)
    [EN] Anti-maskers represent a community of people that opposes the use of face masks on grounds that they infringe personal freedoms. This community has thoroughly exploited the convenience and reach of online social media ...