Stop-word removal

Q: How deeply does Starting Data Analytics with Generative AI and Python cover stop-word removal?

Demonstrates tokenization, lowercasing, punctuation filtering, language-specific stopwords, and frequency counting.

As explained in Starting Data Analytics with Generative AI and Python

Stopword removal is the text-preprocessing technique of excluding selected common function words from analyzed text.

Stop-word removal filters selected common function words before text analysis, helping word-frequency results focus on more informative terms. The choice must match the input language: Portuguese text requires Portuguese stopwords and language-aware tokenization. section 5.3.4

Portuguese review analysis

A workflow loads an Olist reviews CSV, lowercases and tokenizes review_comment_message, keeps alphabetic tokens, removes Portuguese stopwords, and counts the remaining words. Inspect the generated code and correct it when the language context is missed. section 5.3.4

How Starting Data Analytics with Generative AI and Python covers it

Cover of Starting Data Analytics with Generative AI and Python

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Also explained in

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Natural Language Processing in Action, Second EditionA stop word filter is a text-processing filter that removes selected high-frequency function words from tokenized text.
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Elasticsearch in Action, Second EditionA token filter that removes configured stop words from analyzed text.
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Data Without LabelsStop word removal is the elimination of very common words that carry relatively little task-relevant meaning from text.

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Related concepts

standard analyzerpart of · The standard analyzer is a Lucene text analyzer that tokenizes text at word boundaries, normalizes terms, and removes punctuation.
data cleaningpart of · Data cleaning is the process of detecting and correcting, removing, transforming, or otherwise handling inaccurate, incomplete, inconsistent, duplicate, or unsuitable data.
NLTKuses · NLTK is an open-source Python library providing tools, algorithms, corpora, and lexical resources for natural-language processing and text analysis.
latent Dirichlet allocationuses · Latent Dirichlet allocation is a generative probabilistic topic model representing documents as mixtures of latent topics and topics as distributions over words.
n-gramcontrasts with · An n-gram is a contiguous sequence of n consecutive items, commonly linguistic tokens or characters, drawn from a larger sequence.
spaCyused by · spaCy is an open-source Python library for natural language processing, providing tools and pretrained pipelines for tasks such as tokenization and linguistic analysis.

This explainer was generated by Manning's knowledge graph from the text of Starting Data Analytics with Generative AI and Python. The section links point to the parts of the book it draws on.