Software Alternatives & Reviews

monkeylearn VS QualCoder

Compare monkeylearn VS QualCoder 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.

QualCoder logo QualCoder

A very complete Free and Open Source Software (FOSS) Computer-Assisted Qualitative Data Analysis Software (CAQDAS) written in Python. It works with text, images, and multimedia such as audios and videos.
  • monkeylearn Landing page
    Landing page //
    2022-04-02
  • QualCoder Landing page
    Landing page //
    2023-08-27

QualCoder is free, open source software for qualitative data analysis. You can code text, images, audio and video, write journal notes and memos. Categorise codes in a tree-like hierarchical categorisation scheme. Coding for audio and video requires the VLC media player. VLC must be installed for QualCoder to work. Coder comparison reports can be generated for text coding. A graph displaying codes and categories can be generated to visualise the coding hierarchy. Most reports can be exported at html, open document text (ODT) or as plain text files.

monkeylearn videos

Analyzing Customer Reviews with MonkeyLearn and RapidMiner

More videos:

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

QualCoder videos

QualCoder 1.9 desde el escritorio

More videos:

Category Popularity

0-100% (relative to monkeylearn and QualCoder)
NLP And Text Analytics
100 100%
0% 0
Text Analytics
0 0%
100% 100
Natural Language Processing
Market Research
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 QualCoder

monkeylearn Reviews

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QualCoder Reviews

  1. The best open source alternative to paid CAQDAS

    QualCoder is one of the best CAQDAS I have used not just because it is free and open source but also because of the functionalities and constant improvements.

    ๐Ÿ Competitors: ATLAS.ti, NVivo
    ๐Ÿ‘ Pros:    Developer is responsive to feedback/requests and makes improvements|Easy to use|Advanced features
  2. Really good alternative to paid CAQDAS

    I really like using QualCoder 3.0 for its ease of use and intuitive interface.

    ๐Ÿ‘ Pros:    Easy to use|Intuitive|Easy merge of projects
    ๐Ÿ‘Ž Cons:    Only two hierarchies allowed for codes
  3. Efficient and powerful

    The software is efficient and powerful to perform the content analysis task. It allows you to follow the categories and classifications clearly. Facilitates thematic analysis. It is an excellent technology to implement a qualitative methodology. It is a 100% recommended software.

    ๐Ÿ Competitors: ATLAS.ti
    ๐Ÿ‘ Pros:    Free to use|Fast support|Information is easily accessible|Intuitive|Fast ui|Easy installation method|Easy user interface|Easy to get started and operate|Python
    ๐Ÿ‘Ž Cons:    None

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 โ€” 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, Iโ€™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: almost 2 years 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

QualCoder mentions (0)

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

What are some alternatives?

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

Amazon Comprehend - Discover insights and relationships in text

MAXQDA - a professional software for qualitative and mixed methods data analysis

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

ATLAS.ti - ATLAS.ti is a powerful workbench for the qualitative analysis of large bodies of textual, graphical, audio and video data. It offers a variety of sophisticated tools for accomplishing the tasks associated with any systematic approach to "soft" data.

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

NVivo - Buy NVivo now for flexible solutions to meet your specific research and data analysis needs.ย