Enhancing BERT Representation With Context-Aware Embedding for Aspect-Based Sentiment Analysis
نویسندگان
چکیده
منابع مشابه
Semantic Lexicon Expansion for Concept-Based Aspect-Aware Sentiment Analysis
We have developed a prototype for sentiment analysis that is able to identify aspects of an entity being reviewed, along with the sentiment polarity associated to those aspects. Our approach relies on a core ontology of the task, augmented by a workbench for bootstrapping, expanding and maintaining semantic assets that are useful for a number of text analytics tasks. The workbench has the abili...
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Sentiment analysis or Opinion mining is becoming an important task both from academics and commercial standpoint. In recent years text mining has become most promising area for research. There is an exponential growth with respect to World Wide Web, Mobile Technologies, Internet usage and business on electronic commerce applications. Because of which web opinion sources like online shopping por...
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Sentiment analysis is an important task in natural language understanding and has a wide range of real-world applications. The typical sentiment analysis focus on predicting the positive or negative polarity of the given sentence(s). This task works in the setting that the given text has only one aspect and polarity. A more general and complicated task would be to predict the aspects mentioned ...
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ژورنال
عنوان ژورنال: IEEE Access
سال: 2020
ISSN: 2169-3536
DOI: 10.1109/access.2020.2978511