Perfect Tense VS monkeylearn

monkeylearn

Text Mining Made Easy. Extract and classify information from text. Integrate with your App within minutes.

Landing page //
2021-10-17

Landing page //
2022-04-02

The Present Perfect Tense | English Grammar Lesson

monkeylearn videos

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Analyzing Customer Reviews with MonkeyLearn and RapidMiner

Category Popularity

0-100% (relative to Perfect Tense and monkeylearn)

monkeylearn

Grammar Checker

100 100%

Grammar Checker

0% 0

NLP And Text Analytics

0 0%

NLP And Text Analytics

100% 100

Proofreading

100 100%

Proofreading

0% 0

Natural Language Processing

0 0%

Natural Language Processing

100% 100

User comments

Share your experience with using Perfect Tense and monkeylearn. For example, how are they different and which one is better?

Social recommendations and mentions

Based on our record, monkeylearn seems to be more popular. 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.

Perfect Tense mentions (0)

We have not tracked any mentions of Perfect Tense yet. Tracking of Perfect Tense recommendations started around Mar 2021.

monkeylearn mentions (11)

Best AI SEO Tools for NLP Content Optimization
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
free-for.dev
Monkeylearn.com — Text analysis with machine learning, free 300 queries/month. - Source: dev.to / over 1 year ago
[D] What are the best SaaS APIs for non-English NLP tasks?
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
Word Cloud From This Sub [OC]
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: over 1 year ago
Can I use Google Search Console to look at queries and improve my blog posts?
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