Text Mining with Machine Learning
-10%
portes grátis
Text Mining with Machine Learning
Principles and Techniques
Zizka, Jan; Svoboda, Arnost; Darena, Frantisek
Taylor & Francis Ltd
11/2019
352
Dura
Inglês
9781138601826
15 a 20 dias
485
Descrição não disponível.
Introduction to the Text Mining. Problematics. Textual Data in Natural Languages and Their Computer Representation. Typical Tasks and Problems. Basic Processing Tools. Machine Learning and Its Application. Applying Sequences of Machine Learning Algorithms. R-language and Its Use for Machine Learning-Based Text Mining. Real-World-Data Examples and Their Basic Preprocessing Using R. Advanced Text Mining Using Machine Learning and R. Selecting Appropriate Machine Learning Algorithms. Examples of Typical Task Solutions. Interpretation of Results.
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POS Tag;natural language processing;Roc Curve;text analytics;Artificial Multi-layer Neural Network;Random Generator Seeds;text categorization;concept extraction;Inductive Machine Learning;document summarization;Silhouette Method;sentiment analysis;Vice Versa;Bayes classifier;Term Strength;Adaboost Method;decision trees;Selecting Training Samples;machine learning methods;Cross-validation Fold;structured text representations;text mining tasks;Data Set;Word Vectors;Nearest Neighbors;Word Embeddings;Random Forest;Weak Learners;FALSE FALSE;Unsupervised Machine Learning;Unsupervised Feature Selection;FALSE FALSE FALSE;Stochastic Gradient Descent;Hierarchical Data Structure;Deep Belief Networks
Introduction to the Text Mining. Problematics. Textual Data in Natural Languages and Their Computer Representation. Typical Tasks and Problems. Basic Processing Tools. Machine Learning and Its Application. Applying Sequences of Machine Learning Algorithms. R-language and Its Use for Machine Learning-Based Text Mining. Real-World-Data Examples and Their Basic Preprocessing Using R. Advanced Text Mining Using Machine Learning and R. Selecting Appropriate Machine Learning Algorithms. Examples of Typical Task Solutions. Interpretation of Results.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
POS Tag;natural language processing;Roc Curve;text analytics;Artificial Multi-layer Neural Network;Random Generator Seeds;text categorization;concept extraction;Inductive Machine Learning;document summarization;Silhouette Method;sentiment analysis;Vice Versa;Bayes classifier;Term Strength;Adaboost Method;decision trees;Selecting Training Samples;machine learning methods;Cross-validation Fold;structured text representations;text mining tasks;Data Set;Word Vectors;Nearest Neighbors;Word Embeddings;Random Forest;Weak Learners;FALSE FALSE;Unsupervised Machine Learning;Unsupervised Feature Selection;FALSE FALSE FALSE;Stochastic Gradient Descent;Hierarchical Data Structure;Deep Belief Networks
