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Implicit and Explicit Aspect Extraction in Financial Microblogs

Publication Type: 
Refereed Conference Meeting Proceeding
Abstract: 
This paper focuses on aspect extraction which is a sub-task of Aspect-based Sentiment Analysis. The goal is to report an extraction method of financial aspects in microblog messages. Our approach is based on a stock-investment taxonomy for the extraction of explicit and implicit aspects. We compare supervised and unsupervised methods to assign stock-investment aspect categories to microblog messages. Our method targets implicit and explicit aspects. Results on 7 aspect classes reach 0.71 accuracy. Improvements are required in the case of 32 class classification, especially concerning implicit aspects.
Conference Name: 
Annual Meeting of the Association for Computational Linguistics)
Proceedings: 
Proceedings of the First Workshop on Economics and Natural Language Processing
Digital Object Identifer (DOI): 
10.5281/zenodo.1326536
Publication Date: 
24/05/2018
Volume: 
56
Issue: 
1
Pages: 
55
Conference Location: 
Australia
Research Group: 
Institution: 
National University of Ireland, Galway (NUIG)
Open access repository: 
Yes
Publication document: