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The CLSA Model: A Novel Framework for Concept-Level Sentiment Analysis
[chapter]
2015
Lecture Notes in Computer Science
Hitherto, sentiment analysis has been mainly based on algorithms relying on the textual representation of online reviews and microblogging posts. Such algorithms are very good at retrieving texts, splitting them into parts, checking the spelling, and counting their words. But when it comes to interpreting sentences and extracting opinionated information, their capabilities are known to be very limited. Current approaches to sentiment analysis are mainly based on supervised techniques relying on
doi:10.1007/978-3-319-18117-2_1
fatcat:zlu3xwbijjcbxhq3tngtxqljz4