Print Email Facebook Twitter Reasoning about Emotions: An affective natural language processing environment, using lexical relations to measure activation and evaluation, and extracting semantics from natural language Title Reasoning about Emotions: An affective natural language processing environment, using lexical relations to measure activation and evaluation, and extracting semantics from natural language Author Van Willigen, I.F.T. Faculty Electrical Engineering, Mathematics and Computer Science Department Man-Machine Interaction Group Date 2009-04-03 Abstract In the field of textual affect sensing many methods have been proposed. These methods vary from keyword spotting techniques, lexical affinity, statistical natural language processing and hand-crafted models. Based on a large scale survey, two profounding theories have been selected for investigation. The first is the proposed work of (Kamps & Marx, 2001) which states that the lexical relations found in WordNet (Fellbaum, 1998) can be used to measure the activation and evaluation of words. This theory has been investigated, by implementing various search algorithms, including a multi-threaded bidirectional search algorithm, which enables us to compare the results with manually annotated word sets. Improvements to this theory have been made so that for more words the activation and evaluation values can be calculated, without compromising the results. Secondly the theory of (Liu, Lieberman, & Selker, 2003) has been investigated. This theory is based on a novel technique, by inferencing commonsense knowledge to reason about the emotional content of a given text. No full implementation has been made, but a basis has been created for future implementation. Finally, we have implemented a natural language resource toolbox for affective NLP research, called the NLP Affect Toolbox. This toolbox can be used as a programming library to support and fastly implement future research. It can also be used to conduct experiments and to explore the possibilities of state-of-art (affective) natural language processing by experienced programmers, and through a graphical user interface for others. Subject artificial intelligencenatural language processingaffect sensinglexical affinityWordNetConceptNetDictionary of Affect in Languagesyntactic parsingsemantic parsing To reference this document use: http://resolver.tudelft.nl/uuid:31909404-ff75-4836-aaf4-c483e3bb1404 Embargo date 2009-05-09 Part of collection Student theses Document type master thesis Rights (c) 2009 Willigen, I.F.T. Van Files PDF Thesis_IFT_van_Willigen.pdf 2.68 MB Close viewer /islandora/object/uuid:31909404-ff75-4836-aaf4-c483e3bb1404/datastream/OBJ/view