Frequency analysis
Frequency analysis examines how often symbols, values, events, or linguistic units occur in data, text, or signals.
Starting Data Analytics with Generative AI and Python
Frequency-based text analysis infers textual meaning or themes from the occurrence counts of words, phrases, or terms.
- How it is used
- Uses word and phrase counts to find recurring topics in customer reviews before investigating satisfaction and product issues.
- How deep it goes
- Works through direct prompting and a Python counting workflow, including language-sensitive preprocessing and interpretation; it does not develop advanced text-mining methods.
- Examples
- Uses Portuguese customer reviews, repeated delivery terms, translated three-word phrases, and a word-cloud visualization.
- What you can do after
- Apply it via Python, pandas, and NLTK to count review terms, then inspect and validate the results.
Read how Starting Data Analytics with Generative AI and Python explains frequency analysis →
Natural Language Processing in Action, Second Edition
Frequency analysis is the examination of how often symbols, tokens, or other elements occur in a text or signal.
- How it is used
- Uses symbol and token counts to detect language patterns, attribute authorship, and investigate encoded text.
- How deep it goes
- Builds reusable CountVectorizer-based counting, normalization, plotting, and peak comparison, while stopping short of general cipher theory.
- Examples
- Uses Python’s encoded this message, an English machine-learning article, character histograms, and ROT-13 decoding.
- What you can do after
- Apply it via scikit-learn CountVectorizer to count configurable tokens, compare normalized distributions, and inspect suspicious patterns.
Read how Natural Language Processing in Action, Second Edition explains frequency analysis →
Related concepts
- token countuses · A token count is a measure of the number of tokens present in text or processed or generated during a model or corpus operation.
- reviewuses · A review is a user-authored evaluative statement or assessment of a product, service, business, experience, or work.
- generative modelinguses · Generative modeling is a machine-learning approach that learns patterns or a data distribution to generate new samples resembling the data.
- text analysisuses · Text analysis is the computational examination of textual content to extract information, identify patterns, or derive meaning.
- Pythonused by · Python is a high-level, general-purpose, dynamically typed programming language with readable, indentation-based syntax and automatic memory management.
- ChatGPTused by · ChatGPT is OpenAI’s conversational AI service, which lets users interact with generative AI models and related tools through natural-language prompts.
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