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Naive Bayesian Classification for Golang
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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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Naive Bayesian Classification for Golang

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

Abdellah A.
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.
Harshal M.
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
Gyanendra S.
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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Shanika P.
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Security Researcher
Mid-Market(51-1000 emp.)
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What do you like best about Naive Bayesian Classification for Golang?

As mentioned in the title, Naive Bayes is a very simple classification algorithm that makes some strong assumptions about the independence of each input variable. I found this when I was searching for a classification algorithm for my research project. It is a light weighted library to use with the Naive Bayes classification algorithm. It was very difficult to find this library for Go language but with the help of this, I got the job done very easily. The method is efficient in its work and the results are accurate as well. Review collected by and hosted on G2.com.

What do you dislike about Naive Bayesian Classification for Golang?

In my opinion, I think this needs to improve its documentation a bit more. The current documentation is a bit harder to understand for a beginner like myself. Review collected by and hosted on G2.com.

Recommendations to others considering Naive Bayesian Classification for Golang:

I highly recommend this if you're searching for effective and efficient text classification. Review collected by and hosted on G2.com.

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

As mentioned above, I'm using this product for text classification problems in my research project. This works well with simple classification problems as well as TF-IDF classification. Review collected by and hosted on G2.com.

Sina J.
SJ
Research Assistant
Mid-Market(51-1000 emp.)
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Review source: Seller invite
What do you like best about Naive Bayesian Classification for Golang?

I think its title just talks about the product. a light-weighted library to use your classification tasks with the naive-Bayes method. The method is pretty much efficient and fast and the results are accurate. There is not lots of functionality and it is a good thing. you can just do what the code promised you. naive-Bayes classification. Review collected by and hosted on G2.com.

What do you dislike about Naive Bayesian Classification for Golang?

I think having more documentation regarding the installation and using the product with more coded example might be helpful for beginners. The documentation lacks a troubleshooting guide as well. Review collected by and hosted on G2.com.

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

We use it for classification problems on text data to understand the underlying topics of different documents related to foods. Review collected by and hosted on G2.com.

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

it is very hard to find libraries for golang so to find a classifier made my workload super productive. the library is very effective in reading text Review collected by and hosted on G2.com.

What do you dislike about Naive Bayesian Classification for Golang?

the community is still growing, i am sure more people will contribute to it. there are some system issues and git related problems that occur here and there. Review collected by and hosted on G2.com.

Recommendations to others considering Naive Bayesian Classification for Golang:

super great library with tons of potential, don't be worried to use it in your product. Review collected by and hosted on G2.com.

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

Determining whether a given (text) document corresponds to one or more categories. In the text case, the features used might be the presence or absence of key words Review collected by and hosted on G2.com.