A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2015; you can also visit the original URL.
The file type is
Social networking sites have flooded the Internet with posts containing shared opinions, moods, and feelings. This has given rise to a new wave of research to develop algorithms for emotion detection and extraction on social data. As the desire to understand how people feel about certain events/objects across countries or regions grows, the need to analyze social data in different languages grows with it. However, the explosive nature of data generated around the world brings a challenge fordoi:10.3115/v1/w14-5906 dblp:conf/acl-socialnlp/ArguetaC14 fatcat:qijt4ywjmnarhaal46dzp2praq