Word2Vec-Based Literary Networks - Challenges and Opportunities

We propose and conceptualize an approach for literary network analysis that does not rely on co-appearance, but rather what can be called semantic context: characters are connected if they share a semantic neighborhood, or similar meaning-based contexts, even if they are distant in the text sequence.