This technique can be used out-of-the-box, requiring no model training or special packaging. It is code-execution free, which ...

Turn Excel into a lightweight data-science tool for cleaning datasets, standardizing dates, visualizing clusters, and ...

Python has made using Microsoft Excel much easier than it has ever been, and it isn't very hard to start using it yourself.

Top picks for Python readers on InfoWorld How to use Pandas for data analysis in Python For working with data tables in Python, look no further than Pandas, the fast and universal dataframe solution.

ConText is a new tool allowing you to to analyze corpora through a browser-based interface. Rather than separating out reports views, ConText uses hyperlinks to allow you to navigate connections ...

Abstract: This study investigates the capabilities of three large language models - Perplexity, YesChat Text Analyzer, and ChatGPT - in performing literary and linguistic text analysis on Arthur Conan ...

In today’s data-rich environment, business are always looking for a way to capitalize on available data for new insights and increased efficiencies. Given the escalating volumes of data and the ...

ttta (spoken: "triple t a") is a collection of algorithms to handle diachronic texts in an efficient and unbiased manner. As code for temporal text analysis papers is mostly scattered across many ...

Multiplication in Python may seem simple at first—just use the * operator—but it actually covers far more than just numbers. You can use * to multiply integers and floats, repeat strings and lists, or ...

LangExtract lets users define custom extraction tasks using natural language instructions and high-quality “few-shot” examples. This empowers developers and analysts to specify exactly which entities, ...