Text Classification Task

For sentiment classification, it is often recognized that embedding based on dis- tributional hypothesis is weak in captur- ing sentiment contrast–contrasting words may have similar local context. Based on broader …...

AbstractLearning word embeddings on large unlabeled corpus has been shown to be successful in improving many natural language tasks. The most efficient and popular approaches learn or retrofit such representations …...

AbstractWhen assigning quantitative labels to a dataset, different methodologies may rely on different scales. In particular, when assigning polarities to words in a sentiment lexicon, annotators may use binary, categorical, …...