A real-time Twitter sentiment analysis using an unsupervised method-Reference-Cited by-同舟云学术

A real-time Twitter sentiment analysis using an unsupervised method

Published:2017-06-19 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 7th International Conference on Web Intelligence, Mining and Semantics
language:
Short-container-title:

Author:

Azzouza Noureddine¹,Akli-Astouati Karima¹,Oussalah Amira¹,Bachir Samy Ait¹

Affiliation:

1. Houari Boumedien Sciences and Technology University, Algeria

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3102254.3102282

Reference23 articles.

1. Framework for Sentiment Analysis of Arabic Text

2. GTI at SemEval-2016 Task 5: SVM and CRF for Aspect Detection and Unsupervised Aspect-Based Sentiment Analysis

3. Towards more systematicTwitteranalysis: metrics for tweeting activities

4. Cristian Bucur and others. 2015. Architecture Of A Sentiment Analysis Platform. Annals-Economy Series (2015) 154--159. Cristian Bucur and others. 2015. Architecture Of A Sentiment Analysis Platform. Annals-Economy Series (2015) 154--159.

5. New Avenues in Opinion Mining and Sentiment Analysis

Cited by 11 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. Application of Traditional and Deep Learning Algorithms in Sentiment Analysis of Global Warming Tweets;Smart Objects and Technologies for Social Good;2024

2. A survey on sentiment analysis and its applications;Neural Computing and Applications;2023-08-17

3. Investigating the Role of Semantic Analysis in Automated Answer Scoring;Innovations in Computational Intelligence and Computer Vision;2023

4. Analytics of User Behaviors on Twitter Using Machine Learning;Advances in Computational Intelligence and Robotics;2022-12-30

5. Opinion Mining of Readers’ Responses to Literary Prize Nominees on Twitter: A Case Study of Public Reaction to the Booker Prize (2018–2020);Advances on Intelligent Informatics and Computing;2022