Naive Bayesian Classification for Golang Reviews & Product Details

Everything was so good. It's more useful for anybody, it's totally as per expectation, and all the classification models are according to the requirements. Review collected by and hosted on G2.com.

It's looking very complex, not easy to understand by a layperson. It should be more user-friendly and easy to understand. Its probability model is not useful for all sectors. Review collected by and hosted on G2.com.

Naive bayesiqn algorithm is supervise learning algorithm which is base on Bayes thearom Review collected by and hosted on G2.com.

This is the simple probabilistic classifiers Review collected by and hosted on G2.com.

Fast and reliable product. It is very helpful to during programming A.I. Powerful algorithm for Data science Review collected by and hosted on G2.com.

Documentation is so complicated also there is some import problem. Because of the lack of people in community you couldn't find your solution quickly. Review collected by and hosted on G2.com.

There are a couple of things I like about the product, its fast and reliable classification technique, usually used for text classification. Golang libraries are not readily available hence it made me more productive. Review collected by and hosted on G2.com.

Received a few instant errors while modeling but it works fine mostly. The community is not very large so whenever you have a problem solution is not readily available. Review collected by and hosted on G2.com.

The best thing I like about it was its Underflow detection. Review collected by and hosted on G2.com.

Sometimes there are some issues while running it Review collected by and hosted on G2.com.

Naive Bayes is a strong classification algorithm, arguably one of the most powerful (and popular) algorithm used in Data Science. It was very difficult to find a library for Naive Bayes in Golang, but this got the job! It's light-weight, efficient and though it doesn't have a lot of functionality, it gets the job done. Review collected by and hosted on G2.com.

This definitely needs simpler documentation regarding both installation and use.

The community behind Golang is also growing and so it cannot offer as many perks as a large community like that of Python or R. Review collected by and hosted on G2.com.

It made it extremely easy to classify and reliably handle a large dataset performantly. It's a lightweight library to use with the Naive Bayes classification algorithm, with their documentation making it easy to get started if you're an experienced engineer and classify your data right away. Review collected by and hosted on G2.com.

For beginners it's not so easy to start with current documentation, it will be great to refactor the docs so it's more efficient for engineers with different backgrounds. Review collected by and hosted on G2.com.

The naive bayes algorithm is very useful for Natural Language processing and the one thing I like the most is the accuracy and fast performance. Review collected by and hosted on G2.com.

Cannot detect humor in the sentence, for example, if we are doing movie review classification, it can only detect positive and negative reviews but can't detect sarcasm. Review collected by and hosted on G2.com.

Working in a specific projects can be hard to manipulate the entire process, I believe it would be nice to customize the outcomes. Review collected by and hosted on G2.com.

What we disliked as a team is the long reactivity of the customer service. Review collected by and hosted on G2.com.

Ability to classify the text and set the programmatic output for desired business results in an effective manner Review collected by and hosted on G2.com.

Documentation of understanding algorithm and implementation is very limited Review collected by and hosted on G2.com.