spaCy VS QualCoder

spaCy Reviews

QualCoder Reviews

1. Rahul A    

   over 1 year ago
   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.

   🏁 Competitors: ATLAS.ti, NVivo

   👍 Pros:    Developer is responsive to feedback/requests and makes improvements|Easy to use|Advanced features
2. Guest    

   almost 2 years ago
   Really good alternative to paid CAQDAS

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

   👍 Pros:    Easy to use|Intuitive|Easy merge of projects

   👎 Cons:    Only two hierarchies allowed for codes
3. Alfredo Alvarado    

   Analyst at SocData | about 3 years ago
   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.

   🏁 Competitors: ATLAS.ti

   👍 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

   👎 Cons:    None

spaCy mentions (58)

• Step by step guide to create customized chatbot by using spaCy (Python NLP library)

  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

• Best AI SEO Tools for NLP Content Optimization

  SpaCy: An open-source library providing tools for advanced NLP tasks like tokenization, entity recognition, and part-of-speech tagging. Source: 5 months ago

• A beginner’s guide to sentiment analysis using OceanBase and spaCy

  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

• Against LLM Maximalism

  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

• What do you all think about (setq sentence-end-double-space nil)?

  I chose spacy. Although it's not state of the art, it's very well established and stable. Source: 10 months ago

QualCoder mentions (0)