Automatic Classification of Social Media Messaging Using Multi-Dimensional Sentiment Analysis and Crowdsourcing-Reference-Cited by-同舟云学术

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Automatic Classification of Social Media Messaging Using Multi-Dimensional Sentiment Analysis and Crowdsourcing

Published:2013 Issue: Volume: Page:
ISSN:1556-5068
Container-title:SSRN Electronic Journal
language:en
Short-container-title:SSRN Journal

Author:

Machedon Radu,Rand William M.,Joshi Yogesh V.

Publisher

Elsevier BV

Reference25 articles.

1. Predicting the Future with Social Media

2. Predicting the Future with Social Media

3. Chapter 28: The Economic Analysis of Advertising;Kyle Bagwell;Handbook of Industrial Organization,2007

4. Political Polarization on Twitter;M D Conover;Proceedings of 5th International AAAI Conference on Weblogs and Social Media IC-WSM,2011

5. Enhanced Sentiment Learning Using Twitter Hashtags and Smileys;Dmitry Davidov;Proceedings of the 23rd International Conference on Computational Linguistics: Posters, 241-249. COLING '10,2010

Cited by 3 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. Enhanced Bootstrapping Algorithm for Automatic Annotation of Tweets;International Journal of Cognitive Informatics and Natural Intelligence;2020-04

2. TwitSenti: A Real-Time Twitter Sentiment Analysis and Visualization Framework;Journal of Information & Knowledge Management;2019-06

3. The Use of the Convolutional Neural Network as an Emotion Classifier in a Music Recommendation System;Proceedings of the XIV Brazilian Symposium on Information Systems - SBSI'18;2018

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