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Natural Language Processing

Using Regular Expressions to Clean Up Web Pages

A beginner's notebook on using Regex to strip website content of tags.

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Natural Language Processing

Using Regular Expressions to Clean a Text

Techniques on using regular expressions to clean up a text for textual analysis.

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Enrichment

Word Frequency and Count of a Set of Document

This Jupyter Notebook showcases how to conduct word frequency and code on a set of document.

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Enrichment

Tokenization using NLTK

This Jupyter Notebook showcases the different methods of tokenization using NLTK

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Natural Language Processing

Stemming and Lemmatization using NLTK

This Jupyter Notebook showcases the different ways of stemming and lemmatization a text using nltk.

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Visualization

Simple Authorship Clustering

Clustering authorship based on the measure of the distance of texts.

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Visualization

Topic modeling

Identify topics in given texts and visualize the topic distribution in each text.

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Visualization

InPh0 Topic Explorer

The InPhO Topic Explorer features a powerful interactive coding environment that enables direct manipulation of the corpus and models, in contrast to the web visualization.

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Plotting Word Frequency

Reads a .txt file and plot the word frequency using matplotlib.

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Plotting Distribution

Reading a .txt file and storing it. Afterward finding the word count and word distribution and graphing it with matplotlib.

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