An Evaluation of Deep Learning Networks to Extract Emotions from Yelp Reviews

Author:

Chuttur Yasser,Pokhun Leevesh

Publisher

Springer Singapore

Reference24 articles.

1. Sun, X., Han, M., Feng, J.: Helpfulness of online reviews: examining review informativeness and classification thresholds by search products and experience products. Decis. Support Syst. 124, 113099 (2019). https://doi.org/10.1016/j.dss.2019.113099

2. Nikolay, A., Anindya, G., Panagiotis, G.I.: Deriving the pricing power of product features by mining consumer reviews. Manage. Sci. 57, 1485–1509 (2011). https://doi.org/10.1287/mnsc.1110.1370

3. Yam, C.: Emotion Detection and Recognition from Text Using Deep Learning, https://www.microsoft.com/developerblog/2015/11/29/emotion-detection-and-recognition-from-text-using-deep-learning/. Accessed on 31 Jan 2019

4. Di, W., Bhardwaj, A., Wei, J.: Deep learning essentials: your hands-on guide to the fundamentals of deep learning and neural network modeling. Packt Publishing Ltd (2018)

5. Hadji, I., Wildes, R.P.: What Do We Understand About Convolutional Networks? (2018)

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