ネットワークの表現学習を用いた金融専門極性辞書の構築
2017 年 2017 巻 FIN-018 号 p. 11-
詳細
2017 年 2017 巻 FIN-018 号 p. 11-
It is necessary to build a comprehensive polarity dictionary specialized for financial policy to improve the accuracy of lexicon-based sentiment analysis in evaluating texts written on financial policy. In this research, we acquire distributed representation of words using feature learning of dependency network of words and create the polarity dictionary by bootstrap method using the distributed representation of words.
