Geo-spatial-based emotions: A mechanism for event detection in microblogs

Samer Muthana Sarsam, Hosam Al-Samarraie, Bahiyah Omar

Research output: Chapter in Book/Report/Conference proceedingConference proceeding

2 Citations (Scopus)

Abstract

The use of emotions in microblogs to trace the occurrence of certain events and determine their locations is an open challenge for sentiment analysis. This study investigated the potential of detecting the geographical location of events based on existing linkages between the types of emotion embedded in tweets (degree of polarity) and the source location of those tweets. The extracted tweets were clustered using K-means algorithm and a predictive model was developed using Naïve Bayes algorithm. Then, a time series forecasting technique was applied using linear regression analysis. This method was used to predict the amount of emotions in association with the event of interest. Latitude and longitude were used to evaluate the results of the linear regression model on a real-time world map. Results showed that happy emotion tends to be a reliable source for detecting the geographical location of an event. This study revealed the feasibility of using the time series forecasting approach in investigating the degree of emotions in twitter messages.

Original languageEnglish
Title of host publicationICSCA '19 Proceedings of the 2019 8th International Conference on Software and Computer Applications
PublisherACM
Pages1-5
Number of pages5
ISBN (Print)978-1-4503-6573-4
DOIs
Publication statusPublished - 2019
Externally publishedYes
Event8th International Conference on Software and Computer Applications - Penang, Malaysia
Duration: 19 Feb 201921 Feb 2019
http://www.icsca.org/

Publication series

NameACM International Conference Proceeding Series

Conference

Conference8th International Conference on Software and Computer Applications
Abbreviated title ICSCA 2019
CountryMalaysia
CityPenang
Period19/02/1921/02/19
Internet address

Keywords

  • Microblogs
  • Polarity
  • Sentiment analysis
  • Time series forecasting

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Software

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  • Cite this

    Sarsam, S. M., Al-Samarraie, H., & Omar, B. (2019). Geo-spatial-based emotions: A mechanism for event detection in microblogs. In ICSCA '19 Proceedings of the 2019 8th International Conference on Software and Computer Applications (pp. 1-5). (ACM International Conference Proceeding Series). ACM. https://doi.org/10.1145/3316615.3316640