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Sentiment Severity on Location-Based Social Network (LBSN) Data of Natural disasters
2020
International journal of recent technology and engineering
Social media emerged as one of the key components to reach disaster affected people, as they supplement planning and operational coordination. Sentiment analysis was expended to identify, extract or characterize subjective information, such as opinions, expressed in a tweet. The sentiment expressed is analyzed and is classified as positive or negative sentiment, which is not versatile enough to capture the exact sentiment conveyed by the user. Opinion mining is a machine learning process used
doi:10.35940/ijrte.e6631.018520
fatcat:zsim6uslrneqnmoqdkoq7zu57q