01271nas a2200121 4500008004100000245005600041210005600097520083900153100002200992700002801014700001601042856009101058 2017 eng d00aChallenges of Sentiment Analysis for Dynamic Events0 aChallenges of Sentiment Analysis for Dynamic Events3 a

Efforts to assess people's sentiments on Twitter have suggested that Twitter could be a valuable resource for studying political sentiment and that it reflects the offline political landscape. Many opinion mining systems and tools provide users with people's attitudes toward products, people, or topics and their attributes/aspects. However, although it may appear simple, using sentiment analysis to predict election results is difficult, since it is empirically challenging to train a successful model to conduct sentiment analysis on tweet streams for a dynamic event such as an election. This article highlights some of the challenges related to sentiment analysis encountered during monitoring of the presidential election using Kno.e.sis's Twitris system.

1 aEbrahimi, Monireh1 aYazdavar, Amir, Hossein1 aSheth, Amit uhttps://daselab.cs.ksu.edu/publications/challenges-sentiment-analysis-dynamic-events-0