Sentiment analysis of economic text: A lexicon‐based approach
提出了一个专门用于经济学文本的情感词典，覆盖广泛的经济术语并标注情感分数，实验表明该词典在领域相关性和情感分类准确性上优于现有词典。
Abstract We propose an economic lexicon (EL) specifically designed for textual applications in economics. We construct the dictionary with two important characteristics: (1) to have a wide coverage of terms used in documents discussing economic concepts, and (2) to provide a human‐annotated sentiment score in the range [−1, 1]. We illustrate the use of the EL in the context of a simple sentiment measure and consider several applications in economics. The comparison to other lexicons shows that the EL is superior due to its wider coverage of domain relevant terms and its more accurate categorization of the word sentiment.