Session 6 - Machine learning and NLP for EM
Date: Friday, October 30th, 2020.
Scientific papers for presentation
- 1) Ebtesam Alomari1, Rashid Mehmood2, and Iyad Katib1,2019 Road Traffic Event Detection Using Twitter Data, Machine Learning, and Apache Spark, File:ebtesam.pdf
- 2) J. Rexiline Raginia, P.M. Rubesh Anandb,⁎, Vidhyacharan Bhaskarc, 2018, Big data analytics for disaster response and recovery through sentiment analysis, International Journal of Information Management, PP: 1--13, File:P5-2019.pdf
- 3) Deniz Kılınç, 2019, A Spark-based big data analysis framework for real-time sentiment prediction on streaming data, Journal of Software, Practice and Experience, PP: 1--13, File:P6-2019.pdf
- 4)Van Quan Nguyen , Tien Nguyen Anh and Hyung-Jeong Yang Real-time event detection using recurrent neural network in social sensors, File:van.pdf
Chapter from the Book: The Data Revolution by Rob Kitchin
- Chapter 6:Data analytics
Chapters from Book:Big Data in emergency Management:Exploitation Techniques for social and mobile data
- Chapter 4: Knowledge Graphs and Natural-Language Processing [Chapter will be uploaded in Canvas]
Suitable readings:
- Machine Learning Library (MLlib) Guide
- Spark Streaming Tutorial – Sentiment Analysis Using Apache Spark
- Artificial intelligence is finally getting smart
- Machine learning
- Data visualization on Tableau with Spark
- Spark MLlib
- Francesco Tarasconi, Michela Farina, Antonio Mazzei, Alessio Bosca, 2017, The Role of Unstructured Data in Real-Time Disaster-related Social Media Monitoring, IEEE International Conference on Big Data, PP:1--10, File:P6a.pdf.
- Chapter and Paper presentations by you:
- See Canvas for paper allocation
Slides: Session-6: See canvas
Useful Links: