OpinionSpam

Research code for opinion spam detection

Dataset:

• 400 truthful positive reviews from TripAdvisor (described in [1])
• 400 truthful negative reviews from Expedia, Hotels.com, Orbitz, Priceline,TripAdvisor and Yelp (described in [2])

Linguistic Approaches:

• word_embedding.py : using word-embedding method to detect opinion spam
• tf_idf.py : using TF-IDF method to detect opinion spam (PCA deduction is optional)
• unigram.py : using unigram method to detect opinion spam (PCA deduction is optional)

Behavior-based Approaches:

To be implemented...

##References [1] M. Ott, Y. Choi, C. Cardie, and J.T. Hancock. 2011. Finding Deceptive Opinion Spam by Any Stretch of the Imagination. In Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies.

[2] M. Ott, C. Cardie, and J.T. Hancock. 2013. Negative Deceptive Opinion Spam. In Proceedings of the 2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies.