Beschreibung
In a world progressively digitalised, it is arguable whether Humanity will one day need to be re-defined. If chemical processes, such as emotions, are one day understood by digital beings, Humanity would probably enter the Transisto-Sapiens era. In this project, the focus is made on identifying feelings in texts. Extracted from Twitter, a social media allowing its community to answer the question: what are you doing? in 140 characters, these texts usually display a lack of grammatical structure. The classical approach considering tools such as a sentence parser or a POS tagger does not apply. Indeed, as low informational content is available, a too strict feature reduction policy would often result in no text at all. The interest is thus to evaluate the accuracy one can expect on a corpus not pre-processed at all. Focusing solely on surface features, a metric measuring the emotional content of a particular concept is required. To the best of the authors knowledge, none has been done so far. Using WordNet combined with the Plutchik affective model, a simple edge-based metric has thus been designed.
Autorenporträt
Thomas Belin attended Heriot-Watt University, in Scotland, and graduated in 2009 a MSc in Intelligent Web Technology. He is the co-founder of gem4web SAS and currently involved as a devops engineer, in a major actor within the telecommunication industry. He is also the happy dad of a 5-month-old baby girl, Maya, to whom this book is dedicated.
Herstellerkennzeichnung:
OmniScriptum SRL
Str. Armeneasca 28/1, office 1
2012 Chisinau
MD
E-Mail: info@omniscriptum.com
