Based on our record, monkeylearn should be more popular than LiveChat. It has been mentiond 11 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
MonkeyLearn: A platform for text analysis and machine learning, allowing users to train custom models for tasks like sentiment analysis and topic classification. Source: 5 months ago
Monkeylearn.com — Text analysis with machine learning, free 300 queries/month. - Source: dev.to / over 1 year ago
MonkeyLearn supports 11 languages for data analysis (Spanish, Portuguese, German, Russian, Italian, French, Dutch, Chinese, Japanese, Korean and Arabic). But for sentiment analysis, only Spanish seems to be available, I’m not sure about that. Source: over 1 year ago
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: almost 2 years ago
Go to monkeylearn.com and sign up for a free demo. Then cut and paste your blog text into the extractor/classifier. Source: almost 2 years ago
Some of it is going to depend on your budget and needs. Many (most?) livechat providers offer WP functionality. For example, livechat.com has a free WP plugin to offer livechat on WP sites:. Source: almost 2 years ago
I am free to use any existing library or whatnot, what I was wondering is how easy it is to implement and deploy. I'm not being asked to build a full live chat from scratch, just try and implement a solution that won't add monthly charges to the predicted monthly cost of the website (ie pre-made solutions such as livechat.com that would cost atleast $16/mo). Source: about 3 years ago
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