Combining Lexicon- and Learning-based Approaches for Improved Performance and Convenience in Sentiment Classification
Sentiment classification is the process of categorizing data into categories based on its polarity with a wide array of applications across several industries. This report examines a combination of two prominent approaches to sentiment classification using a lexicon of weighted words and machine lea...
| Main Authors: | , |
|---|---|
| Format: | Others |
| Language: | English |
| Published: |
KTH, Skolan för datavetenskap och kommunikation (CSC)
2015
|
| Subjects: | |
| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-166430 |