RQDA
MAXQDA
QualCoder
ATLAS.ti
NVivo
Taguette
Quirkos
Dedoose
spaCy
Amazon Comprehend
Google Cloud Natural Language API
FuzzyWuzzy
Microsoft Bing Spell Check API
NLTK
OpenNLP
monkeylearn
RQDABased on our record, spaCy seems to be a lot more popular than RQDA. While we know about 58 links to spaCy, we've tracked only 4 mentions of RQDA. 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.
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
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’m not familiar with RQDA, but I’m assuming that you mean this. Source: over 1 year ago
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
Hi Community, In this article, I will demonstrate below steps to create your own chatbot by using spaCy (spaCy is an open-source software library for advanced natural language processing, written in the programming languages Python and Cython):. - Source: dev.to / about 1 month ago
SpaCy: An open-source library providing tools for advanced NLP tasks like tokenization, entity recognition, and part-of-speech tagging. Source: 5 months ago
In this article, I'm going to walk through a sentiment analysis project from start to finish, using open-source Amazon product reviews. However, using the same approach, you can easily implement mass sentiment analysis on your own products. We'll explore an approach to sentiment analysis with one of the most popular Python NLP packages: spaCy. - Source: dev.to / 6 months ago
Spacy [0] is a state-of-art / easy-to-use NLP library from the pre-LLM era. This post is the Spacy founder's thoughts on how to integrate LLMs with the kind of problems that "traditional" NLP is used for right now. It's an advertisement for Prodigy [1], their paid tool for using LLMs to assist data labeling. That said, I think I largely agree with the premise, and it's worth reading the entire post. The steps... - Source: Hacker News / 8 months ago
I chose spacy. Although it's not state of the art, it's very well established and stable. Source: 10 months ago
MAXQDA - a professional software for qualitative and mixed methods data analysis
Amazon Comprehend - Discover insights and relationships in text
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.
Google Cloud Natural Language API - Natural language API using Google machine learning
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.
FuzzyWuzzy - FuzzyWuzzy is a Fuzzy String Matching in Python that uses Levenshtein Distance to calculate the differences between sequences.
