LT3: Applying Hybrid Terminology Extraction to Aspect-Based Sentiment Analysis
نویسندگان
چکیده
The LT3 system perceives ABSA as a task consisting of three main subtasks, which have to be tackled incrementally, namely aspect term extraction, classification and polarity classification. For the first two steps, we see that employing a hybrid terminology extraction system leads to promising results, especially when it comes to recall. For the polarity classification, we show that it is possible to gain satisfying accuracies, even on out-ofdomain data, with a basic model employing only lexical information.
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