One of the top Python libraries for sentiment analysis is Pattern, which is a multipurpose library that can handle NLP, data mining, network analysis, machine learning, and visualization.

Students are using text analysis tools like sentiment analysis, topic modeling, and n-gram analysis to see if they can discern patterns in the Smith letters. What are the main benefits? If you wanted ...

Backlink analysis can be done on a spreadsheet but Python has certain advantages. Learn how to use it and customize reports with this script. Chances are, you’ve used one of the more popular ...

Microsoft's Stefan Kinnestrand, writing about “the best of both worlds for data analysis and visualization,” writes that this public preview of Python in Excel will allow spreadsheet tinkerers ...

The conference focused on text-based data storage, analysis, and visualization — awesomely nerdy stuff, in other words. Some of the presentations would be familiar to loyal readers of this site: ...

It pairs Python’s data analysis and visualization libraries with Excel’s features, plus the ability to call Python analytics from Anaconda’s enterprise-grade Python distribution hub.

Profilingis a process that helps us understand our data, and Pandas Profiling is a python package that does exactly that. It’s a simple and fast way to perform exploratory data analysis of a ...

The terms data analysis and data visualization have become synonymous in everyday language in the wider data community, but the two are quite different. Data analysis is an exploratory process ...

Now released to the general public, Python in Excel is set to transform the way millions of Excel users and Python practitioners approach their work. Excel users can now use Python’s advanced ...

This is based on both the definition of each word and the context in which it appears. There are several libraries in Python that perform POS tagging, such as NLTK, SpaCy and TextBlob. These tagging ...