Applied Natural Language Processing with Python , 1st ed. Implementing Machine Learning and Deep Learning Algorithms for Natural Language Processing
Auteur : Beysolow II Taweh
- Utilize various machine learning and natural language processing libraries such as TensorFlow, Keras, NLTK, and Gensim
- Manipulate and preprocess raw text data in formats such as .txt and .pdf
- Strengthen your skills in data science by learning both the theory and the application of various algorithms
Covers NLP packages such as NLTK, gensim,and SpaCy
Approaches topics such as "topic modeling" and "text summarization" in a beginner-friendly manner
Explains how to ingest text data via web crawlers for use in deep learning NLP algorithms such as Word2Vec and Doc2Vec
Date de parution : 09-2018
Ouvrage de 150 p.
15.5x23.5 cm
Disponible chez l'éditeur (délai d'approvisionnement : 15 jours).
Prix indicatif 58,01 €
Ajouter au panierThèmes d’Applied Natural Language Processing with Python :
Mots-clés :
Natural Language Processing; Machine Learning; Deep Learning; Python; TensorFlow; Keras; Caffee; Neural Networks