/SSTSA

This repository contains the code for our paper: SSTSA: A self-supervised topic sentiment analysis using semantic similarity measures and transformers

Primary LanguageJupyter Notebook

SSTSA

This repository contains the code for our paper: SSTSA: A self-supervised topic sentiment analysis using semantic similarity measures and transformers

#Datasets

  1. Movie Review Dataset Pang and Lee movie review dataset B. Pang and L. Lee, “A Sentimental Education: Sentiment Analysis Using Subjectivity Summarization Based on Minimum Cuts,” arXiv:cs/0409058, Jan. 2004, [Online]. Available: http://arxiv.org/abs/cs/0409058 https://www.cs.cornell.edu/people/pabo/movie-review-data/
  2. Multi Domain Dataset John Blitzer, Mark Dredze, and Fernando Pereira. Biographies, bollywood, boom-boxes and blenders: Domain adaptation for sentiment classification. In Proceedings of the 45th annual meeting of the association of computational linguistics, pages 440–447, 2007
    https://www.cs.jhu.edu/%CB%9Cmdredze/datasets/sentiment/

#Requirements Gensim pyLDAvis Spacy NLTK

#Description of files