Sentiment analysis tools should take account of the number of exclamation marks!!!-Reference-Cited by-同舟云学术

Sentiment analysis tools should take account of the number of exclamation marks!!!

Published:2015-12-11 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 17th International Conference on Information Integration and Web-based Applications & Services
language:
Short-container-title:

Author:

Teh Phoey Lee¹,Rayson Paul²,Pak Irina³,Piao Scott²

Affiliation:

1. Sunway University, Bandar Sunway, Malaysia

2. Lancaster University, UK

3. Sunway University

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/2837185.2837216

Reference27 articles.

1. M. Thelwall "Heart and soul: Sentiment strength detection in the social web with sentistrength " Cyberemotions vol. 5 2013. M. Thelwall "Heart and soul: Sentiment strength detection in the social web with sentistrength " Cyberemotions vol. 5 2013.

2. Emotion and Sentiment in Social and Expressive Media;Battaglino C.;Citeseer,2013

3. Emotion knowledge: Further exploration of a prototype approach.

4. How useful are your comments?

Cited by 13 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. Improving Human-AI Collaboration With Descriptions of AI Behavior;Proceedings of the ACM on Human-Computer Interaction;2023-04-14

2. HOW CAN EMOTION-AI HELP UNDERSTAND TRANSLATOR TRAINEES’ TECHNOLOGY LEARNING EXPERIENCES?;Current Trends in Translation Teaching and Learning E;2022-12-27

3. Korean Emoticons: Understanding How Subtle Emotional Differences Are Evoked Online;Companion Computer Supported Cooperative Work and Social Computing;2022-11-08

4. Análisis de las comunicaciones en Twitter de las Fuerzas Armadas y Cuerpos de Seguridad: un modelo empírico;El Profesional de la información;2022-07-11

5. Detecting Sentiment toward Emerging Infectious Diseases on Social Media: A Validity Evaluation of Dictionary-Based Sentiment Analysis;International Journal of Environmental Research and Public Health;2022-06-01