Hacker News
- Getting Started in Natural Language Processing https://monkeylearn.com/blog/getting-started-in-natural-language-processing-nlp/ 37 comments
- Mechanical Turk 101: How to use MTurk for tagging training data https://monkeylearn.com/blog/mechanical-turk-101-use-mturk-tagging-training-data/ 3 comments
- A practical explanation of a Naive Bayes classifier https://monkeylearn.com/blog/practical-explanation-naive-bayes-classifier/ 41 comments
- An Introduction to Support Vector Machines https://monkeylearn.com/blog/introduction-to-support-vector-machines-svm/ 60 comments
- Show HN: MonkeyLearn – Text Mining Made Easy http://www.monkeylearn.com/ 8 comments
- [OC] I've been tracking the positivity and negativity of every NFL subreddit throughout the 2018-19 season. Here are the results. https://monkeylearn.com/sentiment-analysis/ 445 comments nfl
Linking pages
- GitHub - ripienaar/free-for-dev: A list of SaaS, PaaS and IaaS offerings that have free tiers of interest to devops and infradev https://github.com/ripienaar/free-for-dev 80 comments
- Ubuntu 20.04 survey results | Ubuntu https://ubuntu.com/blog/ubuntu-20-04-survey-results 6 comments
- 6 Questions You Should Ask About Prediction APIs | ProgrammableWeb http://www.programmableweb.com/news/6-questions-you-should-ask-about-prediction-apis/analysis/2014/09/12 1 comment
- No-Code Applications for AI/ML https://serokell.io/blog/benefits-of-no-code-applications 0 comments
- GitHub - newTendermint/awesome-bigdata: A curated list of awesome big data frameworks, ressources and other awesomeness. https://github.com/onurakpolat/awesome-bigdata 0 comments
- How to Use Sentiment Analysis in Trading - AllinAllSpace https://www.allinallspace.com/how-to-use-sentiment-analysis-in-trading/ 0 comments
- GitHub - realpython/list-of-python-api-wrappers: List of Python API Wrappers and Libraries https://github.com/realpython/list-of-python-api-wrappers 0 comments
- 10 AI Tools for Data Scientists in 2024 - Big Data Analytics News https://bigdataanalyticsnews.com/ai-tools-for-data-scientists/ 0 comments