Together with my Adobe colleagues Diana Joseph and Frank Jennings, I am co-presenting at the Text Analytics World conference this April in San Francisco. Here is the session abstract:
While designing Web or print publications, there is a typical requirement to place stock art at regular intervals to keep up reader engagement and break the monotony of text. Selecting relevant stock images is time-consuming and often involves collaboration between multiple individuals. There are copyright considerations as well: you cannot simply select any image that you come across. The requirement to maintain attribution for the images in use poses a challenge as well.
This presentation examines the use of natural language processing—particularly named-entity recognition (NER) techniques—in suggesting context-aware, free-to-use, and well-attributed stock images for Web or print content.
The conference website is here. See you in SFO!
