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Text Analytics with Python: A Practitioner's Guide to Natural Language Processing
Author Dipanjan Sarkar
Leverage Natural Language Processing (NLP) in Python and learn how to set up your own robust environment for performing text analytics. This second edition has gone through a major revamp and introduces several significant changes and new topics based on the recent....
Release Date 2019/05 -
Biomolecular and Bioanalytical Techniques
Author Vasudevan Ramesh
An essential guide to biomolecular and bioanalytical techniques and their applicationsBiomolecular and Bioanalytical Techniques offers an introduction to, and a basic understanding of, a wide range of biophysical techniques. The text takes an interdisciplinary appr....
Release Date 2019/06 -
An Introduction to Regular Expressions
Author Thomas Nield
The ubiquity of regular expressions must mean they offer universal utility, and, surprisingly, they do not have a steep learning curve. If you frequently find yourself manually scanning documents or parsing substrings just to identify text patterns, you might want ....
Release Date 2019/06 -
Deep Learning for Natural Language Processing
Author Monicah Wambugu , Tanuj Jain , Shubhangi Hora , Karthiek Reddy Bokka
Gain knowledge of various deep neural network architectures and their areas of application to conquer your NLP issuesKey FeaturesGain insights into the basic building blocks of natural language processing Learn how to select the best deep neural network to solve yo....
Release Date 2019/06 -
Opinion Analysis in Interactions
Author Chloe Clavel
As time goes on, big companies such as Amazon, Microsoft, Google and Apple become increasingly interested in virtual assistants. The interest and development of social robots has put research into affective and social computing at the forefront of the scene. The a....
Release Date 2019/09 -
Author Alice LaPlante
As your business tries to make sense of today’s staggering amount of structured and unstructured data, traditional analytics will take you only so far. The key to success over the next few years will depend on augmented analytics, a method that embeds machine learn....
Release Date 2019/10 -
Linguistic Fundamentals for Natural Language Processing II
Author Emily M. Bender , Alex Lascarides , Graeme Hirst
Meaning is a fundamental concept in Natural Language Processing (NLP), in the tasks of both Natural Language Understanding (NLU) and Natural Language Generation (NLG).This is because the aims of these fields are to build systems that understand what people mean when they ....
Release Date 2019/11 -
Author Jihen Karoui , Farah Benamara , Veronique Moriceau
In recent years, there has been a proliferation of opinion-heavy texts on the Web: opinions of Internet users, comments on social networks, etc. Automating the synthesis of opinions has become crucial to gaining an overview on a given topic. Current automatic system....
Release Date 2019/11 -
Author Mathilde Janier , Patrick Saint-Dizier
This book is an introduction to the linguistic concepts of argumentation relevant for argument mining, an important research and development activity which can be viewed as a highly complex form of information retrieval, requiring high-level natural language process....
Release Date 2019/12 -
The Concise Encyclopedia of Applied Linguistics
Author Carol A. Chapelle
Offers a wide-ranging overview of the issues and research approaches in the diverse field of applied linguistics Applied linguistics is an interdisciplinary field that identifies, examines, and seeks solutions to real-life language-related issues. Such issues often o....
Release Date 2020/01 -
Author Eryk Lewinson
Solve common and not-so-common financial problems using Python libraries such as NumPy, SciPy, and pandasKey FeaturesUse powerful Python libraries such as pandas, NumPy, and SciPy to analyze your financial data Explore unique recipes for financial data analysis and....
Release Date 2020/01 -
Natural Language Processing with Spark NLP
Author Alex Thomas
If you want to build an enterprise-quality application that uses natural language text, but aren’t sure where to begin or what tools to use, this practical guide will help get you started. You’ll explore special concerns for developing text-based applications, such....
Release Date 2020/02 -
Natural Language Processing with Python and spaCy
Author Yuli Vasiliev
Natural Language Processing with Python and spaCy will show you how to create NLP applications like chatbots, text-condensing scripts, and order-processing tools quickly and easily. You’ll learn how to leverage the spaCy library to extract meaning from text intelligently;....
Release Date 2020/04 -
Practical Natural Language Processing
Author Harshit Surana , Anuj Gupta , Bodhisattwa Majumder , Sowmya Vajjala
If you want to build, iterate and scale NLP systems in a business setting and to tailor them for various industry verticals, this is your guide. Consider the task of building a chatbot or text classification system at y....
Release Date 2020/05 -
Hands-On Python Natural Language Processing
Author Aman Kedia , Mayank Rasu
Get well-versed with traditional as well as modern natural language processing concepts and techniquesKey FeaturesPerform various NLP tasks to build linguistic applications using Python libraries Understand, analyze, and generate text to provide accurate results Interpr....
Release Date 2020/06 -
The Applied AI and Natural Language Processing Workshop
Author Krishna Sankar , Jeffrey Jackovich , Ruze Richards
With the help of engaging activities, learn how to leverage Amazon Web Services for building serverless intelligent applications that can process information in no timeKey FeaturesLearn how to integrate Amazon's Simple Storage Services with AI and NLP projects Get to gr....
Release Date 2020/07 -
The Natural Language Processing Workshop
Author Rohan Chopra , Aniruddha M. Godbole , Nipun Sadvilkar
Make NLP easy by building chatbots and models, and executing various NLP tasks to gain data-driven insights from raw text dataKey FeaturesGet familiar with key natural language processing (NLP) concepts and terminologyExplore the functionalities and features of popular NL....
Release Date 2020/08 -
Author Éric Schaer , Jean-Claude André
Process engineering emerged at the beginning of the 20th Century and has become an essential scientific discipline for the matter and energy processing industries. Its success is incontrovertible, with the exponential increase in techniques and innovations. Rapid advances in new technologies s....
Release Date 2020/10 -
Blueprints for Text Analytics Using Python
Author Jens Albrecht , Sidharth Ramachandran , Christian Wink
Turning text into valuable information is essential for many businesses looking to gain a competitive advantage. There have been many improvements in natural language processing and users have a lot of options when choosing to work on a problem. However, it’s not always c....
Release Date 2020/12 -
Transformers for Natural Language Processing
Take your NLP knowledge to the next level and become an AI language understanding expert by mastering the quantum leap of Transformer neural network modelsKey FeaturesBuild and implement state-of-the-art language models, such as the original Transformer, BERT, T5, and GPT-2, using concepts that outp.... -
Getting Started with Google BERT
Kickstart your NLP journey by exploring BERT and its variants such as ALBERT, RoBERTa, DistilBERT, VideoBERT, and more with Hugging Face's transformers libraryKey FeaturesExplore the encoder and decoder of the transformer modelBecome well-versed with BERT along with ALBERT, RoBERTa, and DistilBERTD.... -
Applied Natural Language Processing in the Enterprise
Author Ankur A. Patel , Ajay Uppili Arasanipalai
NLP is one of the hottest topics in AI today. Having lagged for years behind other deep learning fields such as computer vision, NLP only recently gained mainstream popularity. Google, Facebook, and OpenAI have open-sourced large pretrained language models, but many organ....
Release Date 2021/03 -
Python Natural Language Processing Cookbook
Get to grips with solving real-world NLP problems, such as dependency parsing, information extraction, topic modeling, and text data visualizationKey FeaturesAnalyze varying complexities of text using popular Python packages such as NLTK, spaCy, sklearn, and gensimImplement common and not-so-common .... -
Transfer Learning for Natural Language Processing
Transfer Learning for Natural Language Processing teaches you to create powerful NLP solutions quickly by building on existing pretrained models. This instantly useful book provides crystal-clear explanations of the concepts you need to grok transfer learning along with hands-on examples so you can .... -
Real-World Natural Language Processing
Author Masato Hagiwara
Real-world Natural Language Processing shows you how to build the practical NLP applications that are transforming the way humans and computers work together. Guided by clear explanations of each core NLP topic, you’ll create many interesting applications including a sentiment analyzer and a chatbot....
Release Date 2021/11