Software Alternatives & Reviews

Google Cloud Natural Language API VS monkeylearn

Compare Google Cloud Natural Language API VS monkeylearn and see what are their differences

Google Cloud Natural Language API logo Google Cloud Natural Language API

Natural language API using Google machine learning

monkeylearn logo monkeylearn

Text Mining Made Easy. Extract and classify information from text. Integrate with your App within minutes.
  • Google Cloud Natural Language API Landing page
    Landing page //
    2023-08-06
  • monkeylearn Landing page
    Landing page //
    2022-04-02

Google Cloud Natural Language API

Categories
  • Spreadsheets
  • NLP And Text Analytics
  • Natural Language Processing
  • Data Analysis
Website cloud.google.com
Pricing URL-

monkeylearn

Categories
  • NLP And Text Analytics
  • Natural Language Processing
  • Spreadsheets
  • API Tools
Website monkeylearn.com
Pricing URL Official monkeylearn Pricing

Google Cloud Natural Language API videos

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monkeylearn videos

Analyzing Customer Reviews with MonkeyLearn and RapidMiner

More videos:

  • Review - Webinar - Introduction to MonkeyLearn
  • Review - Making a Custom Text Classifier with MonkeyLearn

Category Popularity

0-100% (relative to Google Cloud Natural Language API and monkeylearn)
NLP And Text Analytics
52 52%
48% 48
Natural Language Processing
Spreadsheets
61 61%
39% 39
AI
100 100%
0% 0

User comments

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Social recommendations and mentions

Google Cloud Natural Language API might be a bit more popular than monkeylearn. We know about 13 links to it since March 2021 and only 11 links to monkeylearn. 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.

Google Cloud Natural Language API mentions (13)

  • Best AI SEO Tools for NLP Content Optimization
    Google Cloud Natural Language API: Google's NLP API offers one of the best AI platforms for sentiment analysis, entity recognition, and syntax analysis to understand and extract information from text. Source: 4 months ago
  • What do you think AI will replace SEO ?
    Voice search is another area where AI is reshaping SEO services. As more people use voice-activated devices, the way they search for information online is changing. AI algorithms are adept at processing natural language, allowing businesses in Chandigarh to tailor their content to match conversational queries. Optimizing for voice search is becoming a crucial aspect of SEO, and AI is at the forefront of driving... Source: 7 months ago
  • Natural Language API demo
    Can anyone get the "ANALYZE" button on https://cloud.google.com/natural-language to do anything? Source: 11 months ago
  • From pixels to information with Document AI
    We’re seeing successively difficult problems getting solved thanks to machine learning (ML) models. For example, Natural Language AI and Vision AI extract insights from text and images, with human-like results. They solve problems central to the way we communicate:. - Source: dev.to / about 1 year ago
  • Google Cloud Reference
    Cloud Natural Language API: Text parsing and analysis 🔗Link 🔗Link. - Source: dev.to / over 1 year ago
View more

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: 4 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
View more

What are some alternatives?

When comparing Google Cloud Natural Language API and monkeylearn, you can also consider the following products

spaCy - spaCy is a library for advanced natural language processing in Python and Cython.

Amazon Comprehend - Discover insights and relationships in text

FuzzyWuzzy - FuzzyWuzzy is a Fuzzy String Matching in Python that uses Levenshtein Distance to calculate the differences between sequences.

BytesView - BytesView data analysis tool is one of the most effective and easiest ways to extract insights for unstructured text data.

Microsoft Bing Spell Check API - Enhance your apps with the Bing Spell Check API from Microsoft Azure. The spell check API corrects spelling mistakes as users are typing.

AYLIEN - AI-Driven Media Intelligence with AYLIEN News API. The hassle-free way to build accurate and flexible media monitoring solutions.