I've been using OpenAI's 2017 Sentiment Neuron implementation (https://github.com/openai/generating-reviews-discovering-sentiment) for a while, because it was easy to set up and was the most accurate on benchmarks. What is the most accurate alternative now that I should use?
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For best results, I'd recommend Google Cloud Machine Learning. It has [Natural Language Processing API] (https://cloud.google.com/natural-language/docs/basics) with Sentiment, Entity, and Entity-Sentiment analysis.
You can implement in C++, PHP, Python, or other languages. This does require running a virtual machine instance on Google Cloud. TensorFlow can also be used for NLP sentiment analysis. The only drawback is it's not economical.
As an alternative, this is something I came across recently by Fast Text : http://fasttext.cc. They have some pre-trained models trained on yelp and some other datasets. They support a lot of languages
