Generating sentiment lexica : evaluating approaches with genetic algorithms and particle swarm optimization
Citation:
Nicholas Daly, 'Generating sentiment lexica : evaluating approaches with genetic algorithms and particle swarm optimization', [thesis], Trinity College (Dublin, Ireland). School of Computer Science & Statistics, 2014, pp 174Download Item:
Daly TCD THESIS 10748 Generating sentiment.pdf (PDF) 110.8Mb
Abstract:
This thesis examines the application of sentiment analysis towards financial news. The primary goal within the field of sentiment analysis is to develop a methodology by which the sentiment or emotional view being expressed by the author(s) of a text may be extracted and quantified.
Author: Daly, Nicholas
Advisor:
Ahmad, KhurshidQualification name:
Doctor of Philosophy (Ph.D.)Publisher:
Trinity College (Dublin, Ireland). School of Computer Science & StatisticsNote:
TARA (Trinity’s Access to Research Archive) has a robust takedown policy. Please contact us if you have any concerns: rssadmin@tcd.ieType of material:
thesisCollections:
Availability:
Full text availableLicences: