ABSTRACT This paper examines affect in the reading experience to help both readers' advisors and readers as they work to suggest books to readers and choose books for their individual context. Using Grounded Theory analysis of 536 user-generated reviews from 831 bibliographic records of a selection of fiction titles (n=22) in Canadian public libraries whose catalogues allow for the inclusion of user content were analyzed for affective content. The content of the reviews was coded into three categories, Emotions, Tones, and Associations and taxonomies were developed. Emotions are represented by 9 basic categories, and 44 unique emotions, Tones by 11 basic categories and 141 unique tones, and Associations by 7 basic categories and 31 unique associations. Affective access points can serve as an important addition to the bibliographic records for works of fiction and it is suggested that the derived taxonomies could be used as facets by which to narrow the results of a search for readers' advisory efforts in public libraries. [ABSTRACT FROM AUTHOR]

Copyright of Proceedings of the Association for Information Science & Technology is the property of John Wiley & Sons, Inc. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)