Software Alternatives & Reviews

RQDA VS NLTK

Compare RQDA VS NLTK and see what are their differences

RQDA logo RQDA

RDQA is a R package for Qualitative Data Analysis, a free (free as freedom) qualitative analysis...

NLTK logo NLTK

NLTK is a platform for building Python programs to work with human language data.
  • RQDA Landing page
    Landing page //
    2019-02-24
  • NLTK Landing page
    Landing page //
    2023-01-25

RQDA videos

RQDA 1. Introduction of Qualitative Data Analysis with RQDA

More videos:

  • Review - RQDA 2: Coding in RQDA - Qualitative data analysis

NLTK videos

29 Python NLTK Text Classification Sentiment Analysis movie reviews

More videos:

  • Review - Tutorial 24: Sentiment Analysis of Amazon Reviews using NLTK VADER MODULE PYTHON with [SOURCE CODE]

Category Popularity

0-100% (relative to RQDA and NLTK)
Market Research
100 100%
0% 0
Spreadsheets
0 0%
100% 100
Text Analytics
100 100%
0% 0
Natural Language Processing

User comments

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Social recommendations and mentions

RQDA might be a bit more popular than NLTK. We know about 4 links to it since March 2021 and only 3 links to NLTK. 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.

RQDA mentions (4)

  • [R] Qualitative analysis software
    For eg- RQDA is a qualitative data analysis package wherein you could visualise themes etc. Check - https://nsuworks.nova.edu/cgi/viewcontent.cgi?article=2659&context=tqr Https://rqda.r-forge.r-project.org/. Source: over 1 year ago
  • [R] Qualitative analysis software
    Because we're on a statistics subreddit, I have to mention there are a handful of packages for doing qualitative work in R - RQDA, Q-Coder, some others - but I would not recommend it if you're not already familiar with R, or at least some programming language. There are graphical interfaces that will serve you well. Source: over 1 year ago
  • I cannot for the life of me download RQDA:/
    I’m not familiar with RQDA, but I’m assuming that you mean this. Source: over 1 year ago
  • [Q] Does anyone use R to code qualitative data?
    You might be better off with using something like RQDA: https://rqda.r-forge.r-project.org/. It seems that it hasn’t been updated since 2016, but there might be other alternatives. Source: over 1 year ago

NLTK mentions (3)

  • Just created an app to help me practice my Polish grammar. The passages are from classical literature available in the public domain. If you would like to try it, the link is in the comments.
    To give you some further inspiration, you might want to check out the NLTK (Natural Language Toolkit - https://www.nltk.org/ ). It is a huge collection of tools for language data processing in general. Source: 12 months ago
  • Which not so well known Python packages do you like to use on a regular basis and why?
    I work mostly in the NLP space, so other libraries I like are spaCy, nltk, and pynlp lib. Source: over 1 year ago
  • How to make/program an AI? Is it even possible?
    Learn some Python and play around with existing AI libraries. Go through things like nltk.org and some freecodecamp tutorials to get some hands-on knowledge. Follow this sub and watch the kinds of projects people are creating. Source: over 2 years ago

What are some alternatives?

When comparing RQDA and NLTK, you can also consider the following products

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.

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.

Amazon Comprehend - Discover insights and relationships in text

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