Harvesting Opinions and Emotions from Social Media Textual Resources | IEEE Journals & Magazine | IEEE Xplore

Harvesting Opinions and Emotions from Social Media Textual Resources


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 More

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)
Page(s): 46 - 50
Date of Publication: 19 February 2015

ISSN Information:


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