Stance Identification

We present a supervised system that uses lex- ical, sentiment, semantic dictionaries and la- tent and frame semantic features to identify the stance of a tweeter towards an ideologi- cal …...

AbstractThe #MeToo movement on social media platforms initiated discussions over several facets of sexual harassment in our society. Prior work by the NLP community for automated identification of the narratives …...