Abstract:
Harvesting sentiments from social media textual resources can reveal insightful information. The understanding and modeling of such resources are key requirements for acc...Show MoreMetadata
Abstract:
Harvesting sentiments from social media textual resources can reveal insightful information. The understanding and modeling of such resources are key requirements for accurately capturing the conveyed sentiments. Here, the authors consider multiple approaches, with an emphasis on detecting sentiments in Web 2.0 textual resources.
Published in: IEEE Internet Computing ( Volume: 19, Issue: 4, July-Aug. 2015)
DOI: 10.1109/MIC.2015.28