Answers.Body: <p>I propose you try <a href="http://web.stanford.edu/%7Ejurafsky/slp3/ed3book_dec302020.pdf" rel="nofollow noreferrer">this</a>. It's about modern Natural Language Processing, Computational Linguistics and Speech Recognition, including Embeddings methods.</p>
  
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Answers.CreationDate: 2021-05-27T03:06:17.550Z
Answers.Text: Yeah. Chapter 6: Vector Semantics and Embeddings is apt.
Answers.UserDisplayName: hanugm
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Answers.CreationDate: 2021-05-27T22:35:51.683Z
Answers.Text: Yeah, answer is useful. But I am waiting for a book that explicitly dedicates on that topic.
Answers.UserDisplayName: hanugm
Answers.ContentLicense: CC BY-SA 4.0
Answers.CreationDate: 2021-05-27T23:59:19.463Z
Answers.Text: To find a book that explicitly focuses on embeddings, I think it is something very difficult. My proposal, however, provides a strong theoretical background for this topic.
Answers.UserDisplayName: ddaedalus
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Answers.CreationDate: 2021-05-26T23:26:51.633Z
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Answers.LastEditDate: 2021-06-01T12:53:15.100Z
Answers.UserDisplayName: ddaedalus
Answers.Body: <p>Having a sound understanding on language processing will help you understand all its concepts. <a href="https://towardsdatascience.com/top-nlp-books-to-read-2020-12012ef41dc1" rel="nofollow noreferrer">This</a> summarise must reads for NLP.</p>
  
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Body: <p>Text here refers to either character or word or sentence.</p>
  <p>Is there any recent <strong>textbook</strong> that encompasses from classical methods to the modern techniques for embedding texts?</p>
  <p>If a single textbook is unavailable then please recommend a list of books covering the whole spectrum as mentioned above.</p>
  <p>Modern textbooks that are similar to <a href="https://nlp.stanford.edu/IR-book/information-retrieval-book.html" rel="nofollow noreferrer">Christopher D. Manning, Prabhakar Raghavan and Hinrich Schütze, Introduction to Information Retrieval, Cambridge University Press. 2008</a> are highly encouraged.</p>
  <p><a href="https://ai.stackexchange.com/questions/20911/is-there-a-good-book-or-paper-on-word-embeddings">This question</a> asks for textbook/research paper on word embedding only.</p>
  
Tags: <natural-language-processing><reference-request><word-embedding><books><vector-semantics>
Title: Book(s) for text embedding
UserDisplayName: hanugm
ThreadText: # Book(s) for text embedding
  
  (Asked by: username_0 on 2021-05-25)
  
  Text here refers to either character or word or sentence.
  
  Is there any recent **textbook** that encompasses from classical methods to the modern techniques for embedding texts?
  
  If a single textbook is unavailable then please recommend a list of books covering the whole spectrum as mentioned above.
  
  Modern textbooks that are similar to [Christopher D. Manning, Prabhakar Raghavan and Hinrich Schütze, Introduction to Information Retrieval, Cambridge University Press. 2008](https://nlp.stanford.edu/IR-book/information-retrieval-book.html) are highly encouraged.
  
  [This question](https://ai.stackexchange.com/questions/20911/is-there-a-good-book-or-paper-on-word-embeddings) asks for textbook/research paper on word embedding only.
  
  **Tags:** natural-language-processing, reference-request, word-embedding, books, vector-semantics
  
  
  ---
  
  ## 2 answers
  
  ### Answer by username_1 on 2021-05-26. Score: 1 | Accepted answer
  
  I propose you try [this](http://web.stanford.edu/%7Ejurafsky/slp3/ed3book_dec302020.pdf). It's about modern Natural Language Processing, Computational Linguistics and Speech Recognition, including Embeddings methods.
  
  > **Comments:**
  > **username_0**: Yeah. Chapter 6: Vector Semantics and Embeddings is apt.  
  > **username_0**: Yeah, answer is useful. But I am waiting for a book that explicitly dedicates on that topic.  
  > **username_1**: To find a book that explicitly focuses on embeddings, I think it is something very difficult. My proposal, however, provides a strong theoretical background for this topic.  
  
  ---
  
  ### Answer by username_2 on 2021-06-07. Score: 1
  
  Having a sound understanding on language processing will help you understand all its concepts. [This](https://towardsdatascience.com/top-nlp-books-to-read-2020-12012ef41dc1) summarise must reads for NLP.
  
  
  ---
  
  