Harvesting Opinions and Emotions from Social Media Textual Resources
Despoina Chatzakou, Athena I. Vakali · IEEE Internet Computing · 2015
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.