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But brands can also fall on this double-edged sword if not protected by sentiment analysis or human monitors.
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While some try to grasp the role of the microblog in political protest movements [30, 38], others try to yield insights into political opinions via semantic structures in Tweets [41], by sentiment analysis [21] or through a mixed-method approach of social network analysis and keyword analysis [23].
Trung et al. [55] proposed a fuzzy propagation modeling for opinion mining by sentiment analysis of online social networks.
Indeed if this were the only use case, the value added by sentiment analysis would be limited.
This is all made possible by sentiment analysis: the deployment of algorithms that mine text for meaningful signals about the writer.
Network analysis of the diffusion of memes followed by sentiment analysis was used by the system to detect coordinated efforts to spread memes.
The analyst can be aided by the presentation of storylines from highly positive and negative tweets as determined by sentiment analysis.
In terms of opinion mining, a fuzzy propagation modeling for opinion mining by sentiment analysis of online social networks was proposed by Trung et al. A practical system, called TweetScope, has been implemented to efficiently collect and analyze all possible tweets from customers [18].
Sentiment analysis or opinion polarity has been proven to be effective in predicting people attitude by analyzing big social data.
Sentiment analysis or opinion mining is one of the major tasks of NLP (Natural Language Processing).
Sentiment analysis or opinion mining is a field of study that analyzes people's sentiments, attitudes, or emotions towards certain entities.
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