updated initial readme

Author: dipanjanS

README.md

@@ -1,3 +1,83 @@
-# Text Analytics with Python - Second Edition
+# Text Analytics with Python
+### A Practical Real-World Approach to Gaining Actionable Insights from your Data
+
+Text analytics can be a bit overwhelming and frustrating at times
+with the unstructured and noisy nature of textual data and the 
+vast amount of information available. 
+"Text Analytics with Python" is a book packed with 385 pages of useful information 
+based on techniques, algorithms, experiences and various lessons learnt over time 
+in analyzing text data. This repository contains datasets and code used in this book.
+I will also be adding various notebooks and bonus content here from time to time. 
+Keep watching this space!
+
+## Get the book 
+<div>
+<a target="_blank" href="http://www.apress.com/us/book/9781484223871">
+  <img src="./media/banners/apress_logo.png" alt="apress" align="left"/>
+</a>
+<a target="_blank" href="http://link.springer.com/book/10.1007%2F978-1-4842-2388-8">
+  <img src="./media/banners/springer_logo.png" alt="springer" align="left"/>
+</a>
+<a target="_blank" href="https://www.amazon.com/Text-Analytics-Python-Real-World-Actionable/dp/148422387X/ref=sr_1_1?ie=UTF8&qid=1481143141&sr=8-1&keywords=text+analytics+with+python">
+  <img src="./media/banners/amazon_logo.jpg" alt="amazon" align="left"/>
+</a>
+<a target="_blank" href="https://books.google.co.in/books?id=IimgDQAAQBAJ&dq=text+analytics+with+python&source=gbs_navlinks_s">
+  <img src="./media/banners/googlebooks_logo.png" alt="google" align="left"/>
+</a>
+<a target="_blank" href="https://play.google.com/store/books/details/Dipanjan_Sarkar_Text_Analytics_with_Python?id=IimgDQAAQBAJ">
+  <img src="./media/banners/googleplay_logo.png" alt="google" align="left"/>
+</a>
+<br>
+</div>
+
+<br><br>
+
+## About the book 
+<a target="_blank" href="https://www.amazon.com/Text-Analytics-Python-Real-World-Actionable/dp/148422387X/ref=sr_1_1?ie=UTF8&qid=1481143141&sr=8-1&keywords=text+analytics+with+python">
+  <img src="./media/banners/cover_front.png" alt="Book Cover" width="250" align="left"/>
+</a>
+
+Derive useful insights from your data using Python. 
+Learn the techniques related to natural language processing and text analytics, 
+and gain the skills to know which technique is best suited to solve a particular problem.
+
+Text Analytics with Python teaches you both basic and advanced concepts, 
+including text and language syntax, structure, semantics. 
+You will focus on algorithms and techniques, such as text classification, 
+clustering, topic modeling, and text summarization
+
+A structured and comprehensive approach is followed in this book so that 
+readers with little or no experience do not find themselves overwhelmed. 
+You will start with the basics of natural language and Python and move on 
+to advanced analytical and machine learning concepts. You will look at each 
+technique and algorithm with both a bird's eye view to understand how it 
+can be used as well as with a microscopic view to understand the mathematical 
+concepts and to implement them to solve your own problems.
+
+<div style='font-size:0.5em;'>
+<sup>Edition: 1st<br>
+Pages: 385<br>
+Language: English<br>
+Book Title: Text Analytics with Python<br>
+Publisher: Apress (a part of Springer)<br>  
+Print ISBN: 978-1-4842-2387-1<br>  
+Online ISBN: 978-1-4842-2388-8<br>
+DOI: 10.1007/978-1-4842-2388-8<br>
+Copyright: Dipanjan Sarkar<br></div>
+
+<br>
+
+This book:
+ - Provides complete coverage of the major concepts and 
+ techniques of natural language processing (NLP) and text analytics
+ - Includes practical real-world examples of techniques for implementation, 
+  such as building a text classification system to categorize news articles, 
+  analyzing app or game reviews using topic modeling and text summarization, 
+  and clustering popular movie synopses and analyzing the sentiment of movie reviews
+ - Shows implementations based on Python and several popular open source libraries 
+ in NLP and text analytics, such as the natural language toolkit (`nltk`), 
+ `gensim`, `scikit-learn`, `spaCy` and `Pattern`
+ 
+ 
+
 
-### Work underway, code will be up by this weekend sorry for the delay had lost the code when I was switching computers and finally got a backup