Jasmina Smailovic

According to our database1, Jasmina Smailovic authored at least 15 papers between 2013 and 2018.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

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Bibliography

2018
How to evaluate sentiment classifiers for Twitter time-ordered data?
CoRR, 2018

2017
Automatic Analysis of Annual Financial Reports: A Case Study.
Computación y Sistemas, 2017

A Comparative Study of Performance Estimation Methods for Time Series Forecasting.
Proceedings of the 2017 IEEE International Conference on Data Science and Advanced Analytics, 2017

Mapping Organizations' Goals and Leanings in the Lobbyist Network in Banking and Finance.
Proceedings of the Complex Networks & Their Applications VI, 2017

2016
Multilingual Twitter Sentiment Classification: The Role of Human Annotators.
CoRR, 2016

Dynamic Parameter Adaptation of SVM Based Active Learning Methodology.
Proceedings of the Workshop on Active Learning: Applications, 2016

Empirical evidence of the limits of automatic assessment of fictional ideation.
Proceedings of the Workshop on Computational Creativity, 2016

2015
Active learning for sentiment analysis on data streams: Methodology and workflow implementation in the ClowdFlows platform.
Inf. Process. Manag., 2015

Sentiment of Emojis.
CoRR, 2015

Twitter-based analysis of the dynamics of collective attention to political parties.
CoRR, 2015

Monitoring the Twitter sentiment during the Bulgarian elections.
Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, 2015

2014
Stream-based active learning for sentiment analysis in the financial domain.
Inf. Sci., 2014

Community Sentiment on Environmental Topics in Social Networks.
Proceedings of the Tenth International Conference on Signal-Image Technology and Internet-Based Systems, 2014

Understanding Financial News with Multi-layer Network Analysis.
Proceedings of the 2014 European Conference on Complex Systems, 2014

2013
Predictive Sentiment Analysis of Tweets: A Stock Market Application.
Proceedings of the Human-Computer Interaction and Knowledge Discovery in Complex, Unstructured, Big Data, 2013


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