TAMING TEXT PDF
Taming Text, winner of the Jolt Awards for Productivity, is a hands-on, example-driven guide to working with unstructured text in the context of real- world. Taming Text is a hands-on, example-driven guide to working with unstructured text in the context of real-world applications. This book explores how to. lent, very pragmatic book, Taming Text, offering substantive, real-world, tested guid- ance and Microsoft Word, Adobe PDF, text, and a host of other types.
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Summary. Taming Text, winner of the Jolt Awards for Productivity, is a hands-on, example-driven guide to working with unstructured text in the context of. Text and the intelligent app: search and beyond Searching and matching 12 *. Extracting information. Grouping information 13 *. An intelligent. Taming Text Book Source Code. Contribute to tamingtext/book development by creating an account on GitHub.
This book introduces you to useful techniques like full-text search, proper name recognition,clustering, tagging, information extraction, and summarization. Written in a clear and concise style, this book avoids jargon, explainingthe subject in terms you can understand without a backgroundin statistics or natural language processing. Examples arein Java, but the concepts can be applied in any language. Also available is all code from the book.
Winner of Jolt Awards: The Best Books—one of five notable books every serious programmer should read. Feb 16, Alex Ott rated it really liked it Shelves: Oct 01, Deane Barker rated it liked it. The book alternates between a great overview of the subject, and getting down-and-dirty with the code. I don't know a good solution to this, but I was less concerned with the code and more concerned with the overhead view.
It's a good discussion of how to manage text: Towards the later chapters, it bogs way, way down -- Chapter 7, on classification, is probably a quarter of the entire book in length. In many cases they "dropped to code" The book alternates between a great overview of the subject, and getting down-and-dirty with the code.
In many cases they "dropped to code" immediately without discussion the theory much. In the end, I got what I came for -- I understand the basic concepts of text processing. I now know what I don't know, and that's often half the battle. Aug 16, Ashish rated it really liked it.
This book is like a hands on guide to Text Analytics and Processing as it talks about the Open Source projects related to this topic. The last chapter about Untamed text: For someone interested in Text Processing and Analytics that last chapter is a very good read with a lots of ideas regarding what coul This book is like a hands on guide to Text Analytics and Processing as it talks about the Open Source projects related to this topic.
For someone interested in Text Processing and Analytics that last chapter is a very good read with a lots of ideas regarding what could be done next in this field. Jan 06, Zac rated it it was ok. This book was alright.
Many of the theoretical bits are things I've already encountered. The practical bits weren't so relevant because they were too tightly coupled to specific Java libraries and other pieces of software. Nothing too earth shattering here, but might be just right for some readers.
Feb 09, Vuk Trifkovic rated it liked it Shelves: Bit scattergun, a bit basic, but sound introduction to text handling. Apr 06, Dgg32 rated it really liked it Shelves: A nice introduction to the field natural language programming. May come in handy for some of my projects.
Jan 08, Akshay Ratan rated it really liked it. Good for understanding content analysis using efficient techniques. Apache Solr and Lucene explained with concepts and codes. Julio Sueiras rated it it was amazing Jan 20, Michael S. Wakkinen rated it liked it Jul 16, Rizki Kurniawan rated it it was amazing Dec 25, Here's no knavery!
See, to beguile the old folks, how the young folks lay their heads together! Master, master, look about you. Who goes there, ha? Peace, Grumio!
Taming Text: An Introduction to Text Mining
It is the rival of my love. Petruchio, stand by awhile. A proper stripling, and an amorous! O, very well; I have perus'd the note. Hark you, sir; I'll have them very fairly bound- All books of love, see that at any hand; And see you read no other lectures to her. Take your paper too, And let me have them very well perfum'd; For she is sweeter than perfume itself To whom they go to. What will you read to her?
Whate'er I read to her, I'll plead for you As for my patron, stand you so assur'd, As firmly as yourself were still in place; Yea, and perhaps with more successful words Than you, unless you were a scholar, sir. O this learning, what a thing it is! O this woodcock, what an ass it is! Grumio, mum! And you are well met, Signior Hortensio. Trow you whither I am going? To Baptista Minola.
I promis'd to enquire carefully About a schoolmaster for the fair Bianca; And by good fortune I have lighted well On this young man; for learning and behaviour Fit for her turn, well read in poetry And other books- good ones, I warrant ye. Beloved of me- and that my deeds shall prove.
And that his bags shall prove.
Gremio, 'tis now no time to vent our love. Listen to me, and if you speak me fair I'll tell you news indifferent good for either. Here is a gentleman whom by chance I met, Upon agreement from us to his liking, Will undertake to woo curst Katherine; Yea, and to marry her, if her dowry please. So said, so done, is well. Hortensio, have you told him all her faults? I know she is an irksome brawling scold; If that be all, masters, I hear no harm. No, say'st me so, friend?
What countryman? Born in Verona, old Antonio's son. My father dead, my fortune lives for me; And I do hope good days and long to see.
O Sir, such a life with such a wife were strange! But if you have a stomach, to't a God's name; You shall have me assisting you in all. But will you woo this wild-cat? Will I live? Will he woo her? Ay, or I'll hang her. Why came I hither but to that intent? Think you a little din can daunt mine ears? Have I not in my time heard lions roar? Have I not heard great ordnance in the field, And heaven's artillery thunder in the skies?
Have I not in a pitched battle heard Loud 'larums, neighing steeds, and trumpets' clang?
And do you tell me of a woman's tongue, That gives not half so great a blow to hear As will a chestnut in a farmer's fire?
For he fears none.
This gentleman is happily arriv'd, My mind presumes, for his own good and ours. I promis'd we would be contributors And bear his charge of wooing, whatsoe'er.
And so we will- provided that he win her.Feb 09, Vuk Trifkovic rated it liked it Shelves: Lucene in Action, Second Edition. Think you a little din can daunt mine ears? In the end, I got what I came for -- I understand the basic concepts of text processing. This book is not a theoretical treatise on the subjects of search, natural language processing, and machine learning, although we cover all of those topics in a fair amount of detail throughout the book.