CONCEPTS OF TEXT MINING: With Python and Real Life Exercises - Softcover

SİLAHTAROĞLU, GÖKHAN

 
9781691590636: CONCEPTS OF TEXT MINING: With Python and Real Life Exercises

Synopsis

This book presents the concepts, implementation of text mining with real life examples implemented using Python libraries.You will find ideas how to use texts for extracting valuable and applicable information. The book is designed for academicians, students, researchers and those who are working as data scientist in sector.The book not only defines but also gives Python examples of Information Retrieval, Information Extraction, Concept Extraction, Classification, Clustering, Sentiment Analysis, Topic Extraction, Text Summarization, Web Mining. In the book you will also find a practical example how to use Genetic Algorithms, Naive Bayes and Artificial Neural Networks for text mining.Table of ContentsForewordAbout the AuthorAcknowledgementsCHAPTER I Concepts of Text Mining1)HISTORY of TEXT MINING2)DEFINITION of TEXT MINING3)COMPONENTS of TEXT MINING4. PRACTICAL APPLICATIONS of TEXT MININGCHAPTER II Text Mining Algorithms and Examples1)INFORMATION RETRIEVAL(i) Similarity:(ii) Vectorization:(iii) Calculating Term Weighting and Frequency(iv) Measuring the quality of IR2)INFORMATION EXTRACTION(i) Lexical Analysis(ii) Tokenization(iii) Filtering: Stop-words(iv) Lemmatization(v) Bag of Words(vi) N-Gram(vii) Tagging/Annotation, XML3)BASIC TASKS FOR TEXT MINING(i)Text Categorization(ii)Data Mining Techniques: Link And Association Analysis, Visualization, And Predictive Analytics(iii)Pattern Recognition(iv)Text Clustering And Word Clouding(v)Natural Language Processing (NLP) (vi) Sentiment Analysis4)AUTOMATIC DOCUMENT SUMMARIZATION(i)Extraction-based summarization(ii) Abstraction-based summarization(iii) Aided SummarizationCHAPTER III Text Mining With Python1) STARTING A TEXT MINIG IMPLEMENTATION2) PYTHON ENVIRONMENT3) Examples with Python

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