AnnoFin–A hybrid algorithm to annotate financial text

作者：

Highlights：

• AnnoFin helps a user to classify financial text data to ten categories.

• AnnoFin, when trained with 30% of data and has an accuracy of 73.56%.

• The accuracy increases by 2% if the training data is increased by 10%.

摘要

•AnnoFin helps a user to classify financial text data to ten categories.•AnnoFin, when trained with 30% of data and has an accuracy of 73.56%.•The accuracy increases by 2% if the training data is increased by 10%.

论文关键词：Text classification,Financial sentences,Label propagation algorithm,SVM,Clustering

论文评审过程：Received 5 March 2017, Revised 11 July 2017, Accepted 12 July 2017, Available online 13 July 2017, Version of Record 17 July 2017.

论文官网地址：https://doi.org/10.1016/j.eswa.2017.07.016