A Framework for Early Detection of Antisocial Behavior on Twitter Using Natural Language Processing

Research output: Book chapter/Published conference paperChapter (peer-reviewed)

Original languageEnglish
Title of host publicationComplex, Intelligent, and Software Intensive Systems
PublisherSpringer Nature
Publication statusPublished - 2019

Cite this

Ul-Haq, A. (2019). A Framework for Early Detection of Antisocial Behavior on Twitter Using Natural Language Processing. In Complex, Intelligent, and Software Intensive Systems Springer Nature.
Ul-Haq, Anwaar. / A Framework for Early Detection of Antisocial Behavior on Twitter Using Natural Language Processing. Complex, Intelligent, and Software Intensive Systems. Springer Nature, 2019.
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title = "A Framework for Early Detection of Antisocial Behavior on Twitter Using Natural Language Processing",
author = "Anwaar Ul-Haq",
year = "2019",
language = "English",
booktitle = "Complex, Intelligent, and Software Intensive Systems",
publisher = "Springer Nature",
address = "United States",

}

Ul-Haq, A 2019, A Framework for Early Detection of Antisocial Behavior on Twitter Using Natural Language Processing. in Complex, Intelligent, and Software Intensive Systems. Springer Nature.

A Framework for Early Detection of Antisocial Behavior on Twitter Using Natural Language Processing. / Ul-Haq, Anwaar.

Complex, Intelligent, and Software Intensive Systems. Springer Nature, 2019.

Research output: Book chapter/Published conference paperChapter (peer-reviewed)

TY - CHAP

T1 - A Framework for Early Detection of Antisocial Behavior on Twitter Using Natural Language Processing

AU - Ul-Haq, Anwaar

PY - 2019

Y1 - 2019

M3 - Chapter (peer-reviewed)

BT - Complex, Intelligent, and Software Intensive Systems

PB - Springer Nature

ER -

Ul-Haq A. A Framework for Early Detection of Antisocial Behavior on Twitter Using Natural Language Processing. In Complex, Intelligent, and Software Intensive Systems. Springer Nature. 2019