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    Text Analytics for Business Decisions: A Case Study Approach

    Text Analytics for Business Decisions by Fortino, Andres;

    A Case Study Approach

    Series: Computer Science;

      • GET 20% OFF

      • The discount is only available for 'Alert of Favourite Topics' newsletter recipients.
      • Publisher's listprice EUR 44.00
      • The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.

        17 186 Ft (16 368 Ft + 5% VAT)
      • Discount 20% (cc. 3 437 Ft off)
      • Discounted price 13 749 Ft (13 094 Ft + 5% VAT)
      • Discount is valid until: 30 June 2026

    17 186 Ft

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    Availability

    Estimated delivery time: In stock at the publisher, but not at Prospero's office. Delivery time approx. 3-5 weeks.
    Not in stock at Prospero.

    Why don't you give exact delivery time?

    Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.

    Product details:

    • Edition number 1
    • Publisher Mercury Learning and Information
    • Date of Publication 11 June 2021
    • Number of Volumes Paperback

    • ISBN 9781683926665
    • Binding Paperback
    • No. of pages318 pages
    • Size 250x150x15 mm
    • Weight 735 g
    • Language English
    • 111

    Categories

    Long description:

    No detailed description available for "Text Analytics for Business Decisions".

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    Table of Contents:

    1: Framing Analytical Questions
    2: Analytical Tool Sets
    3: Text Data Sources and Formats
    4: Preparing the Data File
    5: Word Frequency Analysis
    6: Keyword Analysis
    7: Sentiment Analysis
    8: Visualizing Text Data
    9: Coding Text Data
    10: Named Entity Recognition
    11: Topic Recognition in Documents
    12: Text Similarity Scoring
    13: Analysis of Large Datasets by Sampling
    14: Installing R and RStudio
    15: Installing the Entity Extraction Tool
    16: Installing the Topic Modeling Tool
    17: Installing the Voyant Text Analysis Tool
    Index

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