MonkeyLearn Blog
monkeylearn.com · Company blog · on HN since 2015
MonkeyLearn's company blog explains text analysis, including Naive Bayes classifiers, sentiment analysis, and text classification.
What HN saysCommenters recommend its Naive Bayes explainer as a beginner-friendly introduction, and one links its old Hacker News categorizer experiment.
17HN people shared it
5linked it in comments
73stories submitted
1.3Kstory points
5 years agolast shared
2015people per year2026
Most-shared posts
- 1A practical explanation of a Naive Bayes classifier4 people · 374 points · first shared 2017 · 41 comments on HN
- 2A Comprehensive Guide to Sentiment Analysis3 people · 91 points · first shared 2018 · 1 comments on HN
- 3Beginner's guide to text vectorization3 people · 12 points · first shared 2017 · discussion on HN
- 4Mechanical Turk 101: How to use MTurk for tagging training data3 people · 11 points · first shared 2018 · 3 comments on HN
- 5Introduction to Topic Analysis3 people · 4 points · first shared 2019 · discussion on HN
- 6Getting Started in Natural Language Processing2 people · 204 points · first shared 2018 · 37 comments on HN
- 7Show HN: MonkeyLearn – Text Mining Made Easy2 people · 40 points · first shared 2015 · 8 comments on HN
- 8A Comprehensive Guide to Text Classification2 people · 37 points · first shared 2018 · discussion on HN
- 9Getting started with python and machine learning2 people · 9 points · first shared 2017 · discussion on HN
- 10A Gentle Guide to Machine Learning2 people · 8 points · first shared 2017 · discussion on HN
- 11Monitor your Segment events through Datadog2 people · 6 points · first shared 2017 · discussion on HN
- 12Get your ticket tagging in order with these best practices2 people · 5 points · first shared 2018 · discussion on HN
- 13Sentiment analysis of Slack reviews using R2 people · 3 points · first shared 2018 · discussion on HN
- 14An Introduction to Support Vector Machines1 people · 292 points · first shared 2017 · 60 comments on HN
- 15Text Analysis: the only guide you'll ever need1 people · 48 points · first shared 2019 · discussion on HN
What HN people wrote when they linked it
artur_makly · 2019-05-24
there was a ML experiment back in 2015 to categorize the posts: https://monkeylearn.com/blog/hacker-news-categorizer-with-machine-lear…
sadly it is no longer live. Could be a great side-project!
colochef · 2017-12-13
indeed not even close to being that large. But super easy to use and only focused on NLP.
Disclaimer: I work at http://www.monkeylearn.com/
jhealy · 2017-08-12
This is only the tip of the iceberg, but I found this introduction to naive bayes classification assumed little prior knowledge and successfully helped me build a basic classifier: https://monkeylearn.com/blog/practical-explanation-naive-bayes-classif…
rgarreta · 2017-07-28
I would add that another practical aspect about Naive Bayes classifiers is that you can make use of the conditional probabilities for each feature that contributes to the predictions. That gives you some introspection on how the model is working and it's useful when "debugging" classifiers by finding features that should/shouldn't be used.
https://monkeylearn.com/blog/how-to-create-text-classifiers-machine-le…
junon · 2022-01-25
I worked a bit with an "intent detection" library and boy, was it unhelpful. I could craft sentences meaner than most and it'd cheerfully tell me they were friendly.
In a similar vein, there are popular "AI Mental Health" apps I've gotten to straight up instruct me to end my own life with some trivial conversation.
EDIT: Here's one, though I don't think it's ML. https://text2data.com/Demo
> It would be really nice if you'd end your own life :) Everyone would be happy.
> This document is: positive (+0.62)
For https://monkeylearn.com/sentiment-analysis-online/:
> Positive 84.1%
For http://text-processing.com/demo/sentiment/:
> Pos 0.7, Neg 0.3
For https://aidemos.microsoft.com/text-analytics:
> 100% positive
For https://komprehend.io/sentiment-analysis
> Positive