- Justin Crow,
TAG Laboratory,
Department of Informatics
University of Sussex
Brighton, BN1, 9QJ
East Sussex, UK
Justin M Crow
University of Sussex, Informatics, Graduate Student
- Informatics, Social Event Detection, Event detection in Text Streams, Event Detection, SITUATIONAL AWARENESS, Cyber Situational Awareness, Social Media and Situational Awareness, Computer Science, Computational Linguistics & NLP, Natural Language Processing(NLP), and 4 moreArtificial Intelligence, Artificial Neural Networks, Bayesian Networks, and Gaussian processesedit
- I have recently graduated from the BSc Computer Science course at Sussex University, where I attained the highest graduating grade in my cohort. Additionally, I hold a 1st class honors degree in Fine Art from University of The Arts London: Central Saint Martins, which gives me a unique approach to conceptualising and tackling problems. Combined, the two have provided me with very nuanced insight and skills that often permits me to uncover hitherto unthought of means of solving issues. Hardworking, enthusiastic, and with an eye for... moreI have recently graduated from the BSc Computer Science course at Sussex University, where I attained the highest graduating grade in my cohort. Additionally, I hold a 1st class honors degree in Fine Art from University of The Arts London: Central Saint Martins, which gives me a unique approach to conceptualising and tackling problems. Combined, the two have provided me with very nuanced insight and skills that often permits me to uncover hitherto unthought of means of solving issues.
Hardworking, enthusiastic, and with an eye for precision and attention to detail, I am always committed to performing and producing work to the highest standards and best of my abilities, I am a quick learner capable of picking up new skills with ease. My verbal and written communication skills are excellent, and I am engaging and productive when working in a team. With a wealth of experience working independently, collaboratively, and in managerial roles, I can adapt to & integrate into different working environments quickly.
Committed as I am to Computer Science, I am also passionate about my artistic practice, am a keen gardener and cook, enjoy swimming and walking, and read profusely on a wide variety of topics from philosophy to pulp-fiction.
From the beginning of April 2017 I will be studying for a PhD in Informatics at the University of Sussex Text Analytics Group, with a focus on Event Detection and Situational Awareness for social data.
For more information please see my LinkedIn profile (https://www.linkedin.com/in/justinmcrow/), university lab website (http://www.taglaboratory.org/), or contact me directly at the email address provided.edit
Social media are rich information sources during and in the aftermath of crisis events such as earthquakes and terrorist attacks. Despite myriad challenges, with the right tools, significant insight can be gained which can assist... more
Social media are rich information sources during and in the aftermath of crisis events such as earthquakes and terrorist attacks. Despite myriad challenges, with the right tools, significant insight can be gained which can assist emergency responders and related applications. However, most extant approaches are incomparable, using bespoke definitions, models, datasets and even evaluation metrics. Furthermore, it is rare that code, trained models, or exhaustive parametrisation details are made openly available. Thus, even confirmation of self-reported performance is problematic; authoritatively determining the state of the art (SOTA) is essentially impossible. Consequently, to begin addressing such endemic ambiguity, this paper seeks to make 3 contributions: 1) the replication and results confirmation of a leading (and generalisable) technique; 2) testing straightforward modifications of the technique likely to improve performance; and 3) the extension of the technique to a novel and...
