Financial sentiment analysis model utilizing knowledge-base and domain-specific representation-Reference-Cited by-同舟云学术

Financial sentiment analysis model utilizing knowledge-base and domain-specific representation

Published:2022-02-14 Issue:6 Volume:82 Page:8899-8920
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Agarwal Basant

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

https://link.springer.com/content/pdf/10.1007/s11042-022-12181-y.pdf

Reference45 articles.

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2. Bach NX, Hai VT, Phuong TM (2016) Cross-domain sentiment classification with word embeddings and canonical correlation analysis. In: Proceedings of the seventh symposium on information and communication technology, SoICT’16, pp 159–166

3. Bahdanau D, Bosc T, Jastrzebski S, Grefenstette E, Vincent P, Bengio Y Learning to compute word embeddings on the fly, arXiv:https://arxiv.org/abs/1706.00286

4. Cabanski T, Romberg J, Conrad S (2017) HHU at semeval-2017 task 5: fine-grained sentiment analysis on financial data using machine learning methods. In: Proceedings of the 11th international workshop on semantic evaluations (SemEval-2017). Association for Computational Linguistics, pp 832–836

5. Chenlo JM, Losada DE (2014) An empirical study of sentence features for subjectivity and polarity classification. Inform Sci 280:275–288

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