<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>

CC BY-SA 4.0
2019-12-09T07:14:56.870Z
2019-12-09T19:46:32.067Z
2019-12-09T19:46:32.067Z
Arnav Gupta
<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>

<natural-language-processing><sentiment-analysis><text-classification>
What is the most accurate pretrained sentiment analysis model by 2019?
histrionics
# 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


---

## 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


---

