Emotion-based character clustering for managing story-based contents: a cinemetric analysis
Multimedia Tools and Applications
A statistical approach to mining customers' conversational data from social media
IBM Journal of Research and Development
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In this paper we research the lexical affinity between words. Our goal is to define a distance measure which corresponds with the semantic affinity between words. This measure is based on WordNet, where two words/concepts can be connected by a string of stepwise synonyms. The number of hops defines the distance between words. In addition we present a natural language processing toolbox, developed in the course of this work, that combines a number of existing tools and adds a number of analysis tools.