MARC details
| 000 -LEADER |
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| fixed length control field |
01867nam a22002057a 4500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20240210175654.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
240210b |||||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
9789389898781 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
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| Classification number |
006.35 |
| Item number |
GEO |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
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| Personal name |
George, Alexandra |
| 245 ## - TITLE STATEMENT |
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| Title |
Python text mining: |
| Remainder of title |
perform text processing, word embedding, text classification and machine translation |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
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| Name of publisher, distributor, etc. |
BPB Publications |
| Place of publication, distribution, etc. |
New Delhi |
| Date of publication, distribution, etc. |
2023 |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
xxi, 297 p. |
| 365 ## - TRADE PRICE |
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| Price type code |
INR |
| Price amount |
799.00 |
| 520 ## - SUMMARY, ETC. |
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| Summary, etc. |
Natural Language Processing (NLP) has proven to be useful in a wide range of applications. Because of this, extracting information from text data sets requires attention to methods, techniques, and approaches.<br/><br/>'Python Text Mining' includes a number of application cases, demonstrations, and approaches that will help you deepen your understanding of feature extraction from data sets. You will get an understanding of good information retrieval, a critical step in accomplishing many machine learning tasks. We will learn to classify text into discrete segments solely on the basis of model properties, not on the basis of user-supplied criteria. The book will walk you through many methodologies, such as classification, that will enable you to rapidly construct recommendation engines, subject segmentation, and sentiment analysis applications. Toward the end, we will also look at machine translation and transfer learning.<br/><br/>By the end of this book, you'll know exactly how to gather web-based text, process it, and then apply it to the development of NLP applications.<br/><br/>(https://in.bpbonline.com/products/mastering-text-analysis-using-python?_pos=1&_sid=f45145332&_ss=r&variant=42406218072302) |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name as entry element |
Text mining |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name as entry element |
Python (Computer programming language) |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Natural language processing (Computer science) |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
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| Koha item type |
Book |
| Source of classification or shelving scheme |
Dewey Decimal Classification |