Aspect-Based Financial Sentiment Analysis using Deep Learning-Reference-Cited by-同舟云学术

Aspect-Based Financial Sentiment Analysis using Deep Learning

Published:2018 Issue: Volume: Page:
ISSN:
Container-title:Companion of the The Web Conference 2018 on The Web Conference 2018 - WWW '18
language:
Short-container-title:

Author:

Jangid Hitkul¹,Singhal Shivangi¹,Shah Rajiv Ratn¹,Zimmermann Roger²

Affiliation:

1. IIIT-Delhi, Delhi, India

2. National University of Singapore, Singapore, Singapore

Publisher

ACM Press

Reference15 articles.

1. Piotr Bojanowski, Edouard Grave, Armand Joulin, and Tomas Mikolov. 2016. Enriching Word Vectors with Subword Information. arXiv preprint arXiv:1607.04606 (2016).

2. Jasper Friedrichs Debanjan Mahata, Shubham Gupta. 2017. InfyNLP at SMM4H Task 2: Stacked Ensemble of Shallow Convolutional Neural Networks for Identifying Personal Medication Intake from Twitter. In Proceedings of the Second Workshop on Social Media Mining for Health Applications (SMM4H). Health Language Processing Laboratory; 2017, Vol. 1996. 68--71.

3. CJ Hutto Eric Gilbert. 2014. Vader: A parsimonious rule-based model for sentiment analysis of social media text. In Eighth International Conference on Weblogs and Social Media (ICWSM-14). Available at (20/04/16) http://comp. social. gatech. edu/papers/icwsm14. vader. hutto. pdf.

4. Fréderic Godin, Baptist Vandersmissen, Wesley De Neve, and Rik Van de Walle. 2015. Multimedia Lab @ ACL WNUT NER Shared Task: Named Entity Recognition for Twitter Microposts using Distributed Word Representations. In Proceedings of the Workshop on Noisy User-generated Text. 146--153.

5. Soufian Jebbara and Philipp Cimiano. 2016. Aspect-Based Sentiment Analysis Using a Two-Step Neural Network Architecture. In Semantic Web Challenges, Harald Sack, Stefan Dietze, Anna Tordai, and Christoph Lange (Eds.). Springer International Publishing, Cham, 153--167.

Cited by 49 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Financial Sentiment Analysis: Techniques and Applications;ACM Computing Surveys;2024-04-24

2. Switching Self-Attention Text Classification Model with Innovative Reverse Positional Encoding for Right-to-Left Languages: A Focus on Arabic Dialects;Mathematics;2024-03-15

3. Enhancing Financial Sentiment Analysis with a Hybrid Feature Selection Approach;2024-01-17

4. Switch-Transformer Sentiment Analysis Model for Arabic Dialects That Utilizes a Mixture of Experts Mechanism;Mathematics;2024-01-11

5. Enhancing Financial Sentiment Analysis Ability of Language Model via Targeted Numerical Change-Related Masking;IEEE Access;2024