Software Alternatives & Reviews

monkeylearn VS Salesforce Platform

Compare monkeylearn VS Salesforce Platform and see what are their differences

monkeylearn logo monkeylearn

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

Salesforce Platform logo Salesforce Platform

Salesforce Platform is a comprehensive PaaS solution that paves the way for the developers to test, build, and mitigate the issues in the cloud application before the final deployment.
  • monkeylearn Landing page
    Landing page //
    2022-04-02
  • Salesforce Platform Landing page
    Landing page //
    2023-06-05

monkeylearn videos

Analyzing Customer Reviews with MonkeyLearn and RapidMiner

More videos:

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

Salesforce Platform videos

Salesforce Platform Overview (1)

Category Popularity

0-100% (relative to monkeylearn and Salesforce Platform)
NLP And Text Analytics
100 100%
0% 0
Cloud Computing
0 0%
100% 100
Natural Language Processing
Cloud Hosting
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare monkeylearn and Salesforce Platform

monkeylearn Reviews

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Salesforce Platform Reviews

3 easy app makers you can start on today
Salesforce Platform: If you use the popular customer relationship management system, Salesforce’s low-code tools allow you to build custom apps that can include AI and connect with the company’s various cloud services.

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.

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
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Salesforce Platform mentions (0)

We have not tracked any mentions of Salesforce Platform yet. Tracking of Salesforce Platform recommendations started around Sep 2021.

What are some alternatives?

When comparing monkeylearn and Salesforce Platform, you can also consider the following products

Amazon Comprehend - Discover insights and relationships in text

Google App Engine - A powerful platform to build web and mobile apps that scale automatically.

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

Dokku - Docker powered mini-Heroku in around 100 lines of Bash

Google Cloud Natural Language API - Natural language API using Google machine learning

Google Cloud Functions - A serverless platform for building event-based microservices.