Detecting life events from twitter based on temporal semantic features

M Khodabakhsh, M Kahani, E Bagheri… - Knowledge-Based …, 2018 - Elsevier
The wide adoption of social networking and microblogging platforms by a large number of
users across the globe has provided a rich source of unstructured information for …

From neuroscience to computer science: a topical approach on Twitter

CA Piña-García, JM Siqueiros-García… - … of Computational Social …, 2018 - Springer
Twitter is perhaps the most influential microblogging service, with 271 million regular users
producing approximately 500 million tweets per day. Previous studies of tweets discussing …

[PDF][PDF] MEDIA, IDEOLOGY, AND NUCLEAR DISCOURSE: A COMPARATIVE STUDY OF EDITORIAL PERSPECTIVES IN PAKISTANI AND INDIAN PRINT MEDIA

DRS UMBER, ALI HASSAN, MA LATIF, A HABIB - researchgate.net
The current study's goal is to examine the editorial of the Dawn and Times of India regarding
the nuclear arms race in South Asia through critical discourse analysis. This research study …

[PDF][PDF] Application of Association Rule Mining Technique in Industry 4.0 Process

M Adedoyin-Olowe, MM Gaber - Innovation in manufacturing … - open-access.bcu.ac.uk
Abstract Industry 4.0, in all its cutting-edge digitalisation and web technologies in the area of
smart machines and products, brings with it the collection and generation of big data that …

[PDF][PDF] Detecting Life Events From Twitter based on Temporal Semantic

M Khodabakhsha, M Kahanib, E Bagheria, Z Nooriana - academia.edu
The wide adoption of social networking and microblogging platforms by a large number of
users across the globe has provided a rich source of unstructured information for …