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SIMilarity-based sentiment projectiON (SIMON) model

Environment tackled
Online dimension
Descriere

This model is based on a classification of sentiments, opinions or attitudes expressed in human-generated texts (Sentiment Analysis)

Referring PASTEL cluster

Technology

Obiective

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