SEASR Text

The document describes the MONK project which provides over 1400 works of English literature from the 16th-19th century tagged and stored in a database. It discusses using the data for various types of text analysis including predictive modeling, sentiment analysis, and information extraction. Specific techniques are described like named entity recognition, co-reference resolution, and semantic role analysis. Visualization of results is also mentioned.