SIMilarity-based sentiment projectiON (SIMON) model
Environment tackled
Online dimensionDescription
This model is based on a classification of sentiments, opinions or attitudes expressed in human-generated texts (Sentiment Analysis)
Referring PASTEL cluster
Technology
Objectives
Sentiment Analysis
Purpose
Understanding perspectives
End Users
Researchers
Key findings
The SIMON method uses a pre-trained word embedding model and a domain-oriented lexicon to compute features for a particular domain. This work adapts the SIMON method in conjunction with propaganda lexicons, and offers technique for exploiting domain vocabularies. However, it needs domain vocabularies.
referring project
PARTICIPATION