How deeply does Microsoft Azure in Action cover sentiment analysis?

Introduces the purpose through a customer-feedback scenario but provides no sentiment-analysis procedure or output.

Sentiment analysis

As explained in Microsoft Azure in Action

Sentiment analysis is the computational determination of opinions, emotions, or attitudes expressed in text.

Sentiment analysis uses natural language processing (NLP) to identify opinions expressed in text. For a business, it can turn customer feedback into a clearer picture of what people think about its offerings. section 7.1

A bookseller’s feedback

A bookseller could analyze customer feedback to understand customers’ opinions and decide where its offerings need improvement. This is different from using a review to recommend another book: the focus is on the opinion expressed, not the next title to suggest. section 7.1

How Microsoft Azure in Action covers it

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Also explained in

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Starting Data Analytics with Generative AI and PythonSentiment analysis is the computational analysis of text to determine expressed opinions, emotions, or evaluative polarity.
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Natural Language Processing in Action, Second EditionSentiment analysis is the computational determination of opinions, emotions, or evaluative attitudes expressed in text.
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Data Without LabelsSentiment classification is the assignment of text to categories representing expressed opinions, attitudes, or emotional polarity.
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Grokking Machine LearningThe computational task of determining an expressed opinion or affective polarity in text.
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The Complete Obsolete Guide to Generative AISentiment analysis is the computational classification of text according to expressed affective polarity such as positive, negative, or neutral.
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First-Party Data ActivationThe computational or analytical assessment of expressed attitudes and emotions in customer communications.
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Snowflake Data EngineeringSentiment classification assigns text to categorical sentiment labels such as negative, neutral, or positive.
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Investing for ProgrammersSentiment analysis is a computational technique for determining attitudes, opinions, or emotional polarity expressed in text.
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Software Testing with Generative AISentiment analysis is the computational classification or scoring of text according to expressed sentiment or evaluative polarity.
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Spring AI in ActionSentiment analysis is the computational classification of text according to expressed opinions or emotional polarity.
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Hugging Face in ActionSentiment analysis is the computational classification of text according to the expressed attitude or polarity, such as positive or negative sentiment.

Compare how 12 books explain sentiment analysis →

Related concepts

classifierkind of · A classifier is a predictive computational model that assigns inputs to one or more discrete classes or categories.
language modeluses · A language model is a computational model that represents patterns in linguistic tokens to estimate sequence probabilities and predict or generate language from context.
fine-tuningused by · Fine-tuning is adapting a pretrained machine-learning model by training it further on targeted data or objectives for a task, domain, or behavior.
ChatGPTuses · ChatGPT is OpenAI’s conversational AI service, which lets users interact with generative AI models and related tools through natural-language prompts.
natural language processingkind of · Natural language processing is the field of computing concerned with computationally analyzing, interpreting, transforming, or generating human language.

This explainer was generated by Manning's knowledge graph from the text of Microsoft Azure in Action. The section links point to the parts of the book it draws on.