TY - JOUR
T1 - Tweet semantic classification in civic engagement research
AU - Compion, Sara
AU - Croft, P.
AU - Li, J. J.
AU - Ngoy, Kikombo Ilunga
AU - Qi, Feng
N1 - Publisher Copyright:
© 2018, International Association of Computer Science and Information Technology.
PY - 2018/12/1
Y1 - 2018/12/1
N2 - This paper presents a proposal to apply Latent Semantics Indexing to automatically classify Twitter tweets into different categories, in order to create a location-based geographic map of students' civic engagement intensity and correlate it with social behavior. Since the work is at the proposal stage, the focus of this paper is on the proposed research methodology stemming from a pilot study we conducted with Facebook data. We implemented the methodology in a posting classification tool working with Facebook API. During our validation, the tool extracted 100 postings and classified them into five categories of politics, entertainment, science, technology, and daily life. Once adopted to analyzing tweets, we hope to contribute to the field by applying machine learning algorithms to the study of social behavior with focus on measuring youth civic engagement.
AB - This paper presents a proposal to apply Latent Semantics Indexing to automatically classify Twitter tweets into different categories, in order to create a location-based geographic map of students' civic engagement intensity and correlate it with social behavior. Since the work is at the proposal stage, the focus of this paper is on the proposed research methodology stemming from a pilot study we conducted with Facebook data. We implemented the methodology in a posting classification tool working with Facebook API. During our validation, the tool extracted 100 postings and classified them into five categories of politics, entertainment, science, technology, and daily life. Once adopted to analyzing tweets, we hope to contribute to the field by applying machine learning algorithms to the study of social behavior with focus on measuring youth civic engagement.
KW - Classifier
KW - Latent semantics indexing
KW - Machine learning
KW - Pattern recognition
UR - http://www.scopus.com/inward/record.url?scp=85057414698&partnerID=8YFLogxK
U2 - 10.18178/ijmlc.2018.8.6.751
DO - 10.18178/ijmlc.2018.8.6.751
M3 - Article
AN - SCOPUS:85057414698
SN - 2010-3700
VL - 8
SP - 595
EP - 599
JO - International Journal of Machine Learning and Computing
JF - International Journal of Machine Learning and Computing
IS - 6
ER -