Sentiment Analysis over Social Networks: An Overview
作者： Khaled Ahmed , Neamat El Tazi , Ahmad Hany Hossny
DOI: 10.1109/SMC.2015.380
关键词: Feature extraction 、 Text mining 、 Computer science 、 Support vector machine 、 Data science 、 Social media 、 Sentiment analysis 、 World Wide Web
摘要: The rapid increase in data on social media creates a need for mining such to get valuable insights. type can be unstructured with large volumes. Sentiment analysis addresses by detecting opinions or emotions the text. performed various domains as social, medical and industrial applications. This paper presents survey about sentiment addressing different concepts this area, problems its solutions, available APIs, tools used presenting list of open challenges area.
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