R3: Used RedditExtractoR in R to download all-time top posts, and ran the resulting .csv through https://monkeylearn.com/. Downloaded the resulting table and deleted top result "OC" - then visualized it with ggplot to give a sense of absolute numbers. Total posts considered in this are 988, the word cloud only looks at the 98 most mentioned words/phrases. Let me know if you have got any questions/concerns! - Source: Reddit / about 2 months ago
Go to monkeylearn.com and sign up for a free demo. Then cut and paste your blog text into the extractor/classifier. - Source: Reddit / 3 months ago
OOTB tools: There are some tools that basically do what I outlined above automatically. These are worth investing in. Here is one example: https://monkeylearn.com/. - Source: Reddit / 4 months ago
Https://monkeylearn.com might work. The buzzword for what you’re looking for is Natural Language Processing (NLP) classification. - Source: Reddit / 5 months ago
I'm ok, but the guy I built this with is much better. Hmm, that sounds like Text Analysis, you might even be able to leverage some existing platform or API's (e.g. https://monkeylearn.com/ or https://aylien.com/ or https://www.ibm.com/watson). Afraid I haven't done this myself though. - Source: Reddit / 5 months ago
Visit monkeylearn.com (machine language text analysis). Sign up for a trial. Go to "Pre Made Models" and select "Keyword Extractor." Copy and paste your text into the box and run the analysis. - Source: Reddit / 9 months ago
We use a variety of paid tools. Here's one- monkeylearn.com. there are others that are better than those listed here. - Source: Reddit / about 1 year ago
Monkeylearn.com — Text analysis with machine learning, free 300 queries/month. - Source: dev.to / about 1 year ago
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