fastText Quick Start Guide: Get started with Facebook's library for text representation and classification
bPerform efficient fast text representation and classification with Facebook's fastText library/b h4Key Features/h4 ulliIntroduction to Facebook's fastText library for NLP /li liPerform efficient word representations, sentence classification, vector representation /li liBuild better, more...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Birmingham
Packt Publishing Limited
2018
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| Ausgabe: | 1 |
| Schlagworte: | |
| Zusammenfassung: | bPerform efficient fast text representation and classification with Facebook's fastText library/b h4Key Features/h4 ulliIntroduction to Facebook's fastText library for NLP /li liPerform efficient word representations, sentence classification, vector representation /li liBuild better, more scalable solutions for text representation and classification /li /ul h4Book Description/h4 Facebook's fastText library handles text representation and classification, used for Natural Language Processing (NLP). Most organizations have to deal with enormous amounts of text data on a daily basis, and gaining efficient data insights requires powerful NLP tools such as fastText. This book is your ideal introduction to fastText. You will learn how to create fastText models from the command line, without the need for complicated code. You will explore the algorithms that fastText is built on and how to use them for word representation and text classification. Next, you will use fastText in conjunction with other popular libraries and frameworks such as Keras, TensorFlow, and PyTorch. Finally, you will deploy fastText models to mobile devices. By the end of this book, you will have all the required knowledge to use fastText in your own applications at work or in projects. h4What you will learn/h4 ulliCreate models using the default command line options in fastText /li liUnderstand the algorithms used in fastText to create word vectors /li liCombine command line text transformation capabilities and the fastText library to implement a training, validation, and prediction pipeline /li liExplore word representation and sentence classification using fastText /li liUse Gensim and spaCy to load the vectors, transform, lemmatize, and perform other NLP tasks efficiently /li liDevelop a fastText NLP classifier using popular frameworks, such as Keras, Tensorflow, and PyTorch/li/ul h4Who this book is for/h4 This book is for data analysts, data scientists, and machine learning developers who want to perform efficient word representation and sentence classification using Facebook's fastText library. Basic knowledge of Python programming is required |
| Beschreibung: | 1 Online-Ressource (194 Seiten) |
| ISBN: | 9781789136715 |
Internformat
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| 520 | |a bPerform efficient fast text representation and classification with Facebook's fastText library/b h4Key Features/h4 ulliIntroduction to Facebook's fastText library for NLP /li liPerform efficient word representations, sentence classification, vector representation /li liBuild better, more scalable solutions for text representation and classification /li /ul h4Book Description/h4 Facebook's fastText library handles text representation and classification, used for Natural Language Processing (NLP). Most organizations have to deal with enormous amounts of text data on a daily basis, and gaining efficient data insights requires powerful NLP tools such as fastText. This book is your ideal introduction to fastText. You will learn how to create fastText models from the command line, without the need for complicated code. You will explore the algorithms that fastText is built on and how to use them for word representation and text classification. | ||
| 520 | |a Next, you will use fastText in conjunction with other popular libraries and frameworks such as Keras, TensorFlow, and PyTorch. Finally, you will deploy fastText models to mobile devices. By the end of this book, you will have all the required knowledge to use fastText in your own applications at work or in projects. | ||
| 520 | |a h4What you will learn/h4 ulliCreate models using the default command line options in fastText /li liUnderstand the algorithms used in fastText to create word vectors /li liCombine command line text transformation capabilities and the fastText library to implement a training, validation, and prediction pipeline /li liExplore word representation and sentence classification using fastText /li liUse Gensim and spaCy to load the vectors, transform, lemmatize, and perform other NLP tasks efficiently /li liDevelop a fastText NLP classifier using popular frameworks, such as Keras, Tensorflow, and PyTorch/li/ul h4Who this book is for/h4 This book is for data analysts, data scientists, and machine learning developers who want to perform efficient word representation and sentence classification using Facebook's fastText library. Basic knowledge of Python programming is required | ||
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Datensatz im Suchindex
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| author | Bhattacharjee, Joydeep |
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| edition | 1 |
| format | Electronic eBook |
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| id | DE-604.BV047069843 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T16:13:33Z |
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| institution | BVB |
| isbn | 9781789136715 |
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| spelling | Bhattacharjee, Joydeep Verfasser aut fastText Quick Start Guide Get started with Facebook's library for text representation and classification Bhattacharjee, Joydeep 1 Birmingham Packt Publishing Limited 2018 1 Online-Ressource (194 Seiten) txt rdacontent c rdamedia cr rdacarrier bPerform efficient fast text representation and classification with Facebook's fastText library/b h4Key Features/h4 ulliIntroduction to Facebook's fastText library for NLP /li liPerform efficient word representations, sentence classification, vector representation /li liBuild better, more scalable solutions for text representation and classification /li /ul h4Book Description/h4 Facebook's fastText library handles text representation and classification, used for Natural Language Processing (NLP). Most organizations have to deal with enormous amounts of text data on a daily basis, and gaining efficient data insights requires powerful NLP tools such as fastText. This book is your ideal introduction to fastText. You will learn how to create fastText models from the command line, without the need for complicated code. You will explore the algorithms that fastText is built on and how to use them for word representation and text classification. Next, you will use fastText in conjunction with other popular libraries and frameworks such as Keras, TensorFlow, and PyTorch. Finally, you will deploy fastText models to mobile devices. By the end of this book, you will have all the required knowledge to use fastText in your own applications at work or in projects. h4What you will learn/h4 ulliCreate models using the default command line options in fastText /li liUnderstand the algorithms used in fastText to create word vectors /li liCombine command line text transformation capabilities and the fastText library to implement a training, validation, and prediction pipeline /li liExplore word representation and sentence classification using fastText /li liUse Gensim and spaCy to load the vectors, transform, lemmatize, and perform other NLP tasks efficiently /li liDevelop a fastText NLP classifier using popular frameworks, such as Keras, Tensorflow, and PyTorch/li/ul h4Who this book is for/h4 This book is for data analysts, data scientists, and machine learning developers who want to perform efficient word representation and sentence classification using Facebook's fastText library. Basic knowledge of Python programming is required COMPUTERS / Data Processing COMPUTERS / Databases / Data Mining |
| spellingShingle | Bhattacharjee, Joydeep fastText Quick Start Guide Get started with Facebook's library for text representation and classification COMPUTERS / Data Processing COMPUTERS / Databases / Data Mining |
| title | fastText Quick Start Guide Get started with Facebook's library for text representation and classification |
| title_auth | fastText Quick Start Guide Get started with Facebook's library for text representation and classification |
| title_exact_search | fastText Quick Start Guide Get started with Facebook's library for text representation and classification |
| title_exact_search_txtP | fastText Quick Start Guide Get started with Facebook's library for text representation and classification |
| title_full | fastText Quick Start Guide Get started with Facebook's library for text representation and classification Bhattacharjee, Joydeep |
| title_fullStr | fastText Quick Start Guide Get started with Facebook's library for text representation and classification Bhattacharjee, Joydeep |
| title_full_unstemmed | fastText Quick Start Guide Get started with Facebook's library for text representation and classification Bhattacharjee, Joydeep |
| title_short | fastText Quick Start Guide |
| title_sort | fasttext quick start guide get started with facebook s library for text representation and classification |
| title_sub | Get started with Facebook's library for text representation and classification |
| topic | COMPUTERS / Data Processing COMPUTERS / Databases / Data Mining |
| topic_facet | COMPUTERS / Data Processing COMPUTERS / Databases / Data Mining |
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