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dc.contributor.authorNgoge, Lucas .A.
dc.contributor.authorOrero, Joseph Onderi
dc.date.accessioned2017-07-21T13:17:33Z
dc.date.available2017-07-21T13:17:33Z
dc.date.issued2017
dc.identifier.citationNgoge, L. A., & Orero, J. O. (2017). Mapping of terrorist activities in Kenya using sentiment analysis. In Pan African Conference on Science, Computing and Telecommunications (PACT). Nairobi: Strathmore University. Retrieved from https://su-plus.strathmore.eduen_US
dc.identifier.urihttp://hdl.handle.net/11071/5186
dc.descriptionThe conference aimed at supporting and stimulating active productive research set to strengthen the technical foundations of engineers and scientists in the continent, through developing strong technical foundations and skills, leading to new small to medium enterprises within the African sub-continent. It also seeked to encourage the emergence of functionally skilled technocrats within the continent.en_US
dc.description.abstractTerrorism has become a subject of concern to many people in Kenya today. Corruption, porous border and lack of government in the neighboring Somali, have made Kenya a potential target for terrorists’.The advancement in technology has brought a new era in criminal activities where Online Social Networks such as Twitter,Facebook has driven the increase use of the internet by criminal organizations and their supporters for a wide range of purposes including recruitment, financing, propaganda, incitement and gathering and dissemination of information for criminal activities such as threats, incitement to imminent violence, harassing speech, libelous speech etc.Although the Kenya government improved its ability to fight terrorism the changing pattern of terrorist activities, human errors and delayed crime analyses have given criminals more time to destroy evidence and escape arrest.The main objective is to test and validate a technique that can be used to establish crime patterns associated with terrorist activities using sentiment information deduced from twitter data.The data collected will then be used as features for training and development of the algorithm which will then be used to carry out real time mapping of terrorist activities. The algorithm’s performance will be then measured for accuracy.en_US
dc.description.sponsorshipStrathmore University; Institute of Electrical and Electronics Engineers (IEEE)en_US
dc.language.isoenen_US
dc.publisherStrathmore Universityen_US
dc.titleMapping of terrorist activities in Kenya using sentiment analysisen_US
dc.typeConference paperen_US


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