# Naive Bayesian Classification for Golang Reviews **Vendor:** Naive Bayesian Classification for Golang **Category:** [Machine Learning Software](https://www.g2.com/categories/machine-learning) **Average Rating:** 4.2/5.0 **Total Reviews:** 13 ## About 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 Reviews ### 1. Excellent tools **Rating:** 4.5/5.0 stars **Reviewed by:** Gyanendra S. | CMC Scientist, Enterprise (> 1000 emp.) **Reviewed Date:** January 13, 2023 **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. **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. **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. ### 2. Trigger and Apex class **Rating:** 5.0/5.0 stars **Reviewed by:** Harshal M. | Area Sales Executive, Mid-Market (51-1000 emp.) **Reviewed Date:** January 07, 2023 **What do you like best about Naive Bayesian Classification for Golang?** Naive bayesiqn algorithm is supervise learning algorithm which is base on Bayes thearom **What do you dislike about Naive Bayesian Classification for Golang?** This is the simple probabilistic classifiers **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 ### 3. Great classification standard **Rating:** 4.5/5.0 stars **Reviewed by:** Kubilay . | Project Engineer, Small-Business (50 or fewer emp.) **Reviewed Date:** January 11, 2023 **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 **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. **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 ### 4. Amazing Product - Serves the purpose. **Rating:** 4.5/5.0 stars **Reviewed by:** Sahil B. | Assistant Manager, Mid-Market (51-1000 emp.) **Reviewed Date:** September 15, 2022 **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. **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. **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. ### 5. It was very quick and easy to perform on any sets of rings **Rating:** 4.5/5.0 stars **Reviewed by:** Faraz R. | Marketing Consultant, Enterprise (> 1000 emp.) **Reviewed Date:** January 11, 2023 **What do you like best about Naive Bayesian Classification for Golang?** The best thing I like about it was its Underflow detection. **What do you dislike about Naive Bayesian Classification for Golang?** Sometimes there are some issues while running it **What problems is Naive Bayesian Classification for Golang solving and how is that benefiting you?** It has helped me in maintaining a better statistics ### 6. Naive Bayesian Classification for Golang Review **Rating:** 4.5/5.0 stars **Reviewed by:** Vibhu M. | Software Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** August 02, 2022 **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. **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. **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. ### 7. Great software that serves its purpose **Rating:** 4.0/5.0 stars **Reviewed by:** Juan David O. | Software Test Automation Engineer, Small-Business (50 or fewer emp.) **Reviewed Date:** August 05, 2022 **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. **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. **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. ### 8. Review for Naive Bayesian classification using golang **Rating:** 5.0/5.0 stars **Reviewed by:** Hritesh Kumar P. | Associate Software Engineer, Small-Business (50 or fewer emp.) **Reviewed Date:** July 22, 2022 **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. **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. **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. ### 9. I worked with Naive Bayesian as part of my project in my company, I believe it served us fairly. **Rating:** 4.0/5.0 stars **Reviewed by:** Abdellah A. | Co Founder & CEO, Human Resources, Small-Business (50 or fewer emp.) **Reviewed Date:** October 14, 2022 **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. **What do you dislike about Naive Bayesian Classification for Golang?** What we disliked as a team is the long reactivity of the customer service. **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. ### 10. Simple to Classify The Text in Programming Way **Rating:** 3.5/5.0 stars **Reviewed by:** Jayant S. | Technical Architect, Small-Business (50 or fewer emp.) **Reviewed Date:** March 09, 2022 **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 **What do you dislike about Naive Bayesian Classification for Golang?** Documentation of understanding algorithm and implementation is very limited **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. ### 11. Got the job done! **Rating:** 4.5/5.0 stars **Reviewed by:** Shanika P. | Security Researcher, Mid-Market (51-1000 emp.) **Reviewed Date:** May 30, 2019 **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. **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. **Recommendations to others considering Naive Bayesian Classification for Golang:** I highly recommend this if you're searching for effective and efficient text classification. **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. ### 12. A minimalist product to just use it. **Rating:** 2.5/5.0 stars **Reviewed by:** Sina J. | Research Assistant, Mid-Market (51-1000 emp.) **Reviewed Date:** September 12, 2018 **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. **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. **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. ### 13. Amazing product **Rating:** 4.0/5.0 stars **Reviewed by:** Ricardo L. | Small-Business (50 or fewer emp.) **Reviewed Date:** June 11, 2018 **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 **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. **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. **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 ## Naive Bayesian Classification for Golang Discussions - [What is Naive Bayesian Classification for Golang used for?](https://www.g2.com/discussions/what-is-naive-bayesian-classification-for-golang-used-for) - [View Naive Bayesian Classification for Golang pricing details and edition comparison](https://www.g2.com/products/naive-bayesian-classification-for-golang/reviews?section=pricing&secure%5Bexpires_at%5D=2026-05-26+15%3A10%3A22+-0500&secure%5Bsession_id%5D=6c0b9c48-d82e-4102-8e81-098c8903830b&secure%5Btoken%5D=57da050291b28a3963a9fe72937252015f28e38d15a343b46a36fb052d764c2b&format=llm_user) ## Naive Bayesian Classification for Golang Features **Integration - Machine Learning** - Integration **Learning - Machine Learning** - Training Data - Actionable Insights - Algorithm ## Top Naive Bayesian Classification for Golang Alternatives - [Gemini Enterprise Agent Platform](https://www.g2.com/products/gemini-enterprise-agent-platform/reviews) - 4.3/5.0 (650 reviews) - [Automation Anywhere Agentic Process Automation](https://www.g2.com/products/automation-anywhere-agentic-process-automation/reviews) - 4.5/5.0 (4,011 reviews) - [Demandbase One](https://www.g2.com/products/demandbase-one/reviews) - 4.4/5.0 (1,898 reviews)