Answers.Body: <p>For best results, I'd recommend Google Cloud Machine Learning. It has [Natural Language Processing API] (<a href="https://cloud.google.com/natural-language/docs/basics" rel="nofollow noreferrer">https://cloud.google.com/natural-language/docs/basics</a>) with Sentiment, Entity, and Entity-Sentiment analysis.</p>
  
  <p>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.</p>
  
  <p>As an alternative, this is something I came across recently by Fast Text : <a href="http://fasttext.cc" rel="nofollow noreferrer">http://fasttext.cc</a>.
  They have some pre-trained models trained on yelp and some other datasets. They support a lot of languages</p>
  
Answers.ContentLicense: CC BY-SA 4.0
Answers.CreationDate: 2019-12-09T07:14:56.870Z
Answers.LastActivityDate: 2019-12-09T19:46:32.067Z
Answers.LastEditDate: 2019-12-09T19:46:32.067Z
Answers.UserDisplayName: Arnav Gupta
Body: <p>I've been using OpenAI's 2017 Sentiment Neuron implementation (<a href="https://github.com/openai/generating-reviews-discovering-sentiment" rel="nofollow noreferrer">https://github.com/openai/generating-reviews-discovering-sentiment</a>) 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?</p>
  
Tags: <natural-language-processing><sentiment-analysis><text-classification>
Title: What is the most accurate pretrained sentiment analysis model by 2019?
UserDisplayName: histrionics
ThreadText: # What is the most accurate pretrained sentiment analysis model by 2019?
  
  (Asked by: username_0 on 2019-12-09)
  
  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?
  
  **Tags:** natural-language-processing, sentiment-analysis, text-classification
  
  
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  ## 1 answers
  
  ### Answer by username_1 on 2019-12-09. Score: 2
  
  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
  
  
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