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Naive Bayesian Classification for Golang Reviews & Product Details

Naive Bayesian Classification for Golang Overview

What is Naive Bayesian Classification for Golang?

Naive Bayesian Classification for Golang that perform classification into an arbitrary number of classes on sets of strings.

Naive Bayesian Classification for Golang Details
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Product Description

Naive Bayesian Classification for Golang that perform classification into an arbitrary number of classes on sets of strings.


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Description

Naive Bayesian Classification for Golang, available at https://github.com/jbrukh/bayesian, is an open-source implementation of the Naive Bayes classifier in the Go programming language. This library allows developers to apply statistical classification techniques to categorize data based on Bayes' Theorem. It supports text categorization and uses the assumption that the presence of a particular feature in a class is independent of the presence of any other feature, given the class variable. The project is suitable for tasks such as spam detection, sentiment analysis, and other classification problems. The repository includes documentation and example code to help users integrate the classifier into their Go applications effectively.

Recent Naive Bayesian Classification for Golang Reviews

AA
Abdellah A.Small-Business (50 or fewer emp.)
4.0 out of 5
"I worked with Naive Bayesian as part of my project in my company, I believe it served us fairly."
Working in a specific projects can be hard to manipulate the entire process, I believe it would be nice to customize the outcomes.
HM
Harshal M.Mid-Market (51-1000 emp.)
5.0 out of 5
"Trigger and Apex class"
Naive bayesiqn algorithm is supervise learning algorithm which is base on Bayes thearom
GS
Gyanendra S.Enterprise (> 1000 emp.)
4.5 out of 5
"Excellent tools"
Everything was so good. It's more use full for any body it's it's totally as per expectation and all the classification model is according to the r...

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13 Naive Bayesian Classification for Golang Reviews

4.2 out of 5
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GS
CMC Scientist
Enterprise(> 1000 emp.)
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What do you like best about Naive Bayesian Classification for Golang?

Everything was so good. It's more use full for any body it's it's totally as per expectation and all the classification model is according to the requirements. Review collected by and hosted on G2.com.

What do you dislike about Naive Bayesian Classification for Golang?

It's looking very complex nit easy to understand by lay person. It's should be more user friday and able to understand. It's probability model not use full for all sector. Review collected by and hosted on G2.com.

What problems is Naive Bayesian Classification for Golang solving and how is that benefiting you?

One of the disadvantages of Naïve-Bayes is that if you have no occurrences of a class label and a certain attribute value together then the frequency-based probability estimate will be zero. And this will get a zero when all the probabilities are multiplied. Review collected by and hosted on G2.com.

HM
Area Sales Executive
Mid-Market(51-1000 emp.)
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Review source: G2 invite
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(Original )Information
What do you like best about Naive Bayesian Classification for Golang?

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

What do you dislike about Naive Bayesian Classification for Golang?

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

What problems is Naive Bayesian Classification for Golang solving and how is that benefiting you?

It is base on probability model that incorporate strong independence assumption Review collected by and hosted on G2.com.

K
Project Engineer
Small-Business(50 or fewer emp.)
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What do you like best about Naive Bayesian Classification for Golang?

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.

What do you dislike about Naive Bayesian Classification for Golang?

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.

What problems is Naive Bayesian Classification for Golang solving and how is that benefiting you?

I used golang for multiple classification problems. Speed and accuracy were great. It is useful for imagine classification and NLP process Review collected by and hosted on G2.com.

SB
Assistant Manager
Mid-Market(51-1000 emp.)
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Review source: G2 invite
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What do you like best about Naive Bayesian Classification for Golang?

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.

What do you dislike about Naive Bayesian Classification for Golang?

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.

What problems is Naive Bayesian Classification for Golang solving and how is that benefiting you?

Majorly for me, I find it hard to work with Golang as libraries are not available so Naive Bayesian made my day by providing all the technical requirements for the modeling purposes. So help me and the team in being productive and focusing on our USP. Review collected by and hosted on G2.com.

FR
Marketing Consultant
Enterprise(> 1000 emp.)
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What do you like best about Naive Bayesian Classification for Golang?

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

What do you dislike about Naive Bayesian Classification for Golang?

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

What problems is Naive Bayesian Classification for Golang solving and how is that benefiting you?

It has helped me in maintaining a better statistics Review collected by and hosted on G2.com.

VM
Software Engineer
Mid-Market(51-1000 emp.)
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What do you like best about Naive Bayesian Classification for Golang?

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.

What do you dislike about Naive Bayesian Classification for Golang?

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.

What problems is Naive Bayesian Classification for Golang solving and how is that benefiting you?

Naive bayes is the most fundamental algorithm in Natural Language Processing. This light-weight framework allowed text Classification for Data Science projects in Golang. Review collected by and hosted on G2.com.

JO
Software Test Automation Engineer
Small-Business(50 or fewer emp.)
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Review source: G2 invite
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What do you like best about Naive Bayesian Classification for Golang?

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

What do you dislike about Naive Bayesian Classification for Golang?

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.

What problems is Naive Bayesian Classification for Golang solving and how is that benefiting you?

It's used to classify data for research purposes, to understand how to improve customer service for a client, we evaluate text input to get those classifications and make recommendations. Review collected by and hosted on G2.com.

HP
Associate Software Engineer
Small-Business(50 or fewer emp.)
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Review source: G2 invite
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What do you like best about Naive Bayesian Classification for Golang?

The naive bayes algorithm is very usefull 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.

What do you dislike about Naive Bayesian Classification for Golang?

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

What problems is Naive Bayesian Classification for Golang solving and how is that benefiting you?

Naive Bayesian classification for go lang is a very light framework which can be used for various Natural language processing applications and It benifitted me for making a website for sentimental analysis of movie reviews. Review collected by and hosted on G2.com.

AA
Co Founder & CEO
Human Resources
Small-Business(50 or fewer emp.)
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Review source: G2 invite
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(Original )Information
What do you like best about Naive Bayesian Classification for Golang?

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 do you dislike about Naive Bayesian Classification for Golang?

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

What problems is Naive Bayesian Classification for Golang solving and how is that benefiting you?

Time, time and time. It was the most valuable insight using it. Review collected by and hosted on G2.com.

JS
Technical Architect
Small-Business(50 or fewer emp.)
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Review source: G2 invite
Incentivized Review
What do you like best about Naive Bayesian Classification for Golang?

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.

What do you dislike about Naive Bayesian Classification for Golang?

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

What problems is Naive Bayesian Classification for Golang solving and how is that benefiting you?

It helped in sorting out the business text to generate an automatic result that can be used in multiple projects in a specific way. Review collected by and hosted on G2.com.