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Showing 1 to 2 of 2 for “"Aspect Extraction"”.

  1. Weakly supervised aspect extraction for domain-specific texts

    Aspect extraction, identifying aspects of text segments from a pre-defined set of aspects, is one of the keystones in text understanding. It benefits numerous applications, including sentiment analysis and product review summarization. Most existing aspect extraction methods heavily rely on …

    uiuc Repository record for Weakly supervised aspect extraction for domain-specific texts (opens in a new tab)

  2. Aspect-based sentiment analysis for social recommender systems.

    … in the form of user opinions centred on product aspects. Making sense of these for recommender systems requires the capability to reason with text. However, Natural Language Processing (NLP) toolkits trained on formal text documents encounter challenges when analysing product reviews, due to …

    rgu Repository record for Aspect-based sentiment analysis for social recommender systems. (opens in a new tab)