Voyant Tools VS NumPy

Voyant Tools Reviews

NumPy Reviews

Voyant Tools mentions (11)

• Nvivo Help Needed

  My suggestion would be to start with Voyant (https://voyant-tools.org/) and use tools like Document Terms, Contexts, Correlations, and Collocates (and maybe Topics) to see if you can get useful results that way. NVivo definitely has some powerful tools, but it isn't particularly easy to use so unless you need it for something like sentiment analysis, you may be better off using something simpler like Voyant. Source: about 1 year ago

• What are affordable tools for self-employed data scientists who work with text?

  I am aware of NetBase Quid and Primer.Ai, but their prices start at tens thousands $$$ a year. Then I know some tools like https://textrazor.com/ but it's too technical and works through an API. https://voyant-tools.org/ is free but not suited to work with survey responses and multiple snippets of data... Source: over 1 year ago

• Idea for targeting new vocabulary - how best to execute?

  Check out voyant tools: https://voyant-tools.org/. Source: over 1 year ago

• Interesting, short scholarly article by Marta Dyczok that analyzed Zelenskyy's speeches from the first 50 days of the war. Marta was on the CERES @ Munk panel discussing Ze's leadership a couple of months ago.

  I have all 300+ speeches saved in documents and I've plugged them into a text analysis tool. I am absolutely no expert in linguistics or related fields but it produced some interesting results re: what words he uses most, unique words by months, etc. Source: over 1 year ago

• Text Analysis Software

  Hello, I write many essays for classes and like to do research in my spare time. A professor once mentioned this tool: https://voyant-tools.org/, and I loved it since it allows me to gain better insight into my writing or texts I'm reading. I was wondering if there were more tools (preferably free) that I should also try. Source: over 1 year ago

NumPy mentions (107)

• Element-wise vs Matrix vs Dot multiplication

  In NumPy with * or multiply(). ` or multiply()` can multiply 0D or more D arrays by element-wise multiplication. - Source: dev.to / about 2 months ago

• JSON in data science projects: tips & tricks

  Data science projects often use numpy. However, numpy objects are not JSON-serializable and therefore require conversion to standard python objects in order to be saved:. - Source: dev.to / about 2 months ago

• Introducing Flama for Robust Machine Learning APIs

  Numpy: A library for scientific computing in Python. - Source: dev.to / 5 months ago

• A Comprehensive Guide to NumPy Arrays

  Python has become a preferred language for data analysis due to its simplicity and robust library ecosystem. Among these, NumPy stands out with its efficient handling of numerical data. Let’s say you’re working with numbers for large data sets—something Python’s native data structures may find challenging. That’s where NumPy arrays come into play, making numerical computations seamless and speedy. - Source: dev.to / 6 months ago

• Beginning Python: Project Management With PDM

  A majority of software in the modern world is built upon various third party packages. These packages help offload work that would otherwise be rather tedious. This includes interacting with cloud APIs, developing scientific applications, or even creating web applications. As you gain experience in python you'll be using more and more of these packages developed by others to power your own code. In this example... - Source: dev.to / 7 months ago