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DOI: 10.14569/IJACSA.2019.0100155
PDF

Generating a Highlight Moments Summary Video of Apolitical Event using Ontological Analysis on Social Media Speech Sentiment

Author 1: Abid Mehdi
Author 2: Benayad Nsiri
Author 3: Yassine Serhane
Author 4: Miyara Mounia

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 10 Issue 1, 2019.

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Abstract: Numerous viewers choose to watch political or presidential debates highlights via TV or internet, rather than seeing the whole debate nowadays, which requires a lot of time. However, the task of making a debate summary, which can be considered neutral and does not give out a negative nor a positive image of the speaker, has never been an easy one, due to personal or political beliefs bias of the video maker. This study came up with a solution that generates highlights of a political event, based on twitter social network flow. Twitter streaming API is used to detect an event's tweets stream using specific hashtags, and detect on a timescale the extreme changes of volume of tweets, which will determine the highlight moments of our video summary at first, then a process is set up based on a group of ontologies that analyze each tweet of these moments to calculate the percentage of each sentiment’s positivity, then classify those moments by category (positive, negative or neutral).

Keywords: Debate summary; API; hashtags; twitter; highlights moment; ontologies; sentiment analysis

Abid Mehdi, Benayad Nsiri, Yassine Serhane and Miyara Mounia, “Generating a Highlight Moments Summary Video of Apolitical Event using Ontological Analysis on Social Media Speech Sentiment” International Journal of Advanced Computer Science and Applications(IJACSA), 10(1), 2019. http://dx.doi.org/10.14569/IJACSA.2019.0100155

@article{Mehdi2019,
title = {Generating a Highlight Moments Summary Video of Apolitical Event using Ontological Analysis on Social Media Speech Sentiment},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2019.0100155},
url = {http://dx.doi.org/10.14569/IJACSA.2019.0100155},
year = {2019},
publisher = {The Science and Information Organization},
volume = {10},
number = {1},
author = {Abid Mehdi and Benayad Nsiri and Yassine Serhane and Miyara Mounia}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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