Capturing Reliable Fine-Grained Sentiment Associations by Crowdsourcing and Best–Worst Scaling
Capturing Reliable Fine-Grained Sentiment Associations by Crowdsourcing and Best–Worst Scaling
Access to word-sentiment associations is useful for many applications, including sentiment analysis, stance detection, and linguistic analysis.However, manually assigning finegrained sentiment association scores to words has many challenges with respect to keeping annotations consistent.We apply the annotation technique of Best-Worst Scaling to obtain real-valued sentiment association scores for words and …