A question that is sometimes raised is: "who is the author of a generative artwork?" Is it the person that creates the system, or the system itself? Clearly, in examples such as. This illustrates the often volatile nature of generative art: as the software used to generate the artwork ages, modern computer systems will be unable to reproduce it, while the original digital prints slowly fade due to sunlight exposure. This is in contrast to the previously discussed works, which are produced as digital prints mounted on aluminum panels. NANOPHYSICAL is produced on durable canvas. Figure 14.7 uses a particle system to visualize a mesh of cells, where the connections between cells are springs. It is bundled as an example in NODEBOX FOR OPENGL and in PATTERN's online canvas.js editor 12. For example, figure 14.6 uses a particle system to visualize a dense group of cells that pack together. At each segment the direction changes randomly and there is a chance that root() is called, creating a new branch. The root() function draws a chain of lines. main part of the source code involves rendering an artistic interpretation of the cardiovascular system, using a recursive algorithm. An evaluation ( figure 41, Cole, R., personal communication, 2012) indeed suggests a correlation between the polarity of the inspector's comment and the age of the asset (e.g., steel. Most of the asset condition records are expressed in natural language. Colorado Department of Transportation use the English subjectivity lexicon in PATTERN to enhance their asset condition forecasting abilities. It follows that the approach should be scalable to other domains besides product reviews, such as political discourse. Adjectives retain their polarity regardless of what words they qualify: "good book", "good dog" and "good speech" are all positive. We then discussed a case study of sentiment analysis for online political discourse. We applied two techniques (distributional extraction and spreading activation) to expand the lexicon automatically and tested its accuracy using a different set of product reviews + star rating. In summary, we mined the Web for product reviews and annotated the most frequent adjectives with a positive-negative score. this chapter we demonstrated how the PATTERN package discussed in chapter 6 can be used to build a subjectivity lexicon for sentiment analysis.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |