عنوان
پدید آورنده
موضوع
رده
QA76.9.N38 .S656 2018eb
QA76
.
9
.
N38
.
S656
2018eb
کتابخانه
محل استقرار
شابک
شابک
1788837037
شابک
178883853X
شابک
9781788837033
شابک
9781788838535
عنوان و نام پديدآور
عنوان اصلي
Natural Language Processing and Computational Linguistics :
نام عام مواد
[Book]
ساير اطلاعات عنواني
a Practical Guide to Text Analysis with Python, Gensim, SpaCy, and Keras.
وضعیت نشر و پخش و غیره
محل نشرو پخش و غیره
Birmingham :
نام ناشر، پخش کننده و غيره
Packt Publishing Ltd,
تاریخ نشرو بخش و غیره
2018.
مشخصات ظاهری
نام خاص و کميت اثر
1 online resource (298 pages)
یادداشتهای مربوط به مندرجات
متن يادداشت
Cover; Copyright and Credits; Packt Upsell; Contributors; Table of Contents; Preface; Chapter 1: What is Text Analysis?; What is text analysis?; Where's the data at?; Garbage in, garbage out; Why should you do text analysis?; Summary; References; Chapter 2: Python Tips for Text Analysis; Why Python?; Text manipulation in Python; Summary; References; Chapter 3: spaCy's Language Models; spaCy; Installation; Troubleshooting; Language models; Installing language models; Installation -- how and why?; Basic preprocessing with language models; Tokenizing text; Part-of-speech (POS) -- tagging.
متن يادداشت
Chapter 13: Deep Learning for TextDeep learning; Deep learning for text (and more); Generating text; Summary; References; Chapter 14: Keras and spaCy for Deep Learning; Keras and spaCy; Classification with Keras; Classification with spaCy; Summary; References; Chapter 15: Sentiment Analysis and ChatBots; Sentiment analysis; Reddit for mining data; Twitter for mining data; ChatBots; Summary; References; Other Books You May Enjoy; Index.
متن يادداشت
Exploring documentsTopic coherence and evaluating topic models; Visualizing topic models; Summary; References; Chapter 10: Clustering and Classifying Text; Clustering text; Starting clustering; K-means; Hierarchical clustering; Classifying text; Summary; References; Chapter 11: Similarity Queries and Summarization; Similarity metrics; Similarity queries; Summarizing text; Summary; References; Chapter 12: Word2Vec, Doc2Vec, and Gensim; Word2Vec; Using Word2Vec with Gensim; Doc2Vec; Other word embeddings; GloVe; FastText; WordRank; Varembed; Poincare; Summary; References.
متن يادداشت
Named entity recognitionRule-based matching; Preprocessing; Summary; References; Chapter 4: Gensim -- Vectorizing Text and Transformations and n-grams; Introducing Gensim; Vectors and why we need them; Bag-of-words; TF-IDF; Other representations; Vector transformations in Gensim; n-grams and some more preprocessing; Summary; References; Chapter 5: POS-Tagging and Its Applications; What is POS-tagging?; POS-tagging in Python; POS-tagging with spaCy; Training our own POS-taggers; POS-tagging code examples; Summary; References; Chapter 6: NER-Tagging and Its Applications; What is NER-tagging?
متن يادداشت
NER-tagging in PythonNER-tagging with spaCy; Training our own NER-taggers; NER-tagging examples and visualization; Summary; References; Chapter 7: Dependency Parsing; Dependency parsing; Dependency parsing in Python; Dependency parsing with spaCy; Training our dependency parsers; Summary; References; Chapter 8: Topic Models; What are topic models?; Topic models in Gensim; Latent Dirichlet allocation; Latent semantic indexing; Hierarchical Dirichlet process; Dynamic topic models; Topic models in scikit-learn; Summary; References; Chapter 9: Advanced Topic Modeling; Advanced training tips.
بدون عنوان
0
بدون عنوان
8
بدون عنوان
8
بدون عنوان
8
بدون عنوان
8
یادداشتهای مربوط به خلاصه یا چکیده
متن يادداشت
Discover how you can perform your own modern text analysis, to make predictions, create inferences, and gain insights about the data around you today. Learn how to harness the powerful Python ecosystem and tools such as spaCy and Gensim to perform natural language processing, and computational linguistics algorithms.
یادداشتهای مربوط به سفارشات
منبع سفارش / آدرس اشتراک
01201872
شماره انبار
B09470
ویراست دیگر از اثر در قالب دیگر رسانه
عنوان
Natural Language Processing and Computational Linguistics : A Practical Guide to Text Analysis with Python, Gensim, SpaCy, and Keras.
شماره استاندارد بين المللي کتاب و موسيقي
9781788838535
موضوع (اسم عام یاعبارت اسمی عام)
موضوع مستند نشده
Computational linguistics.
موضوع مستند نشده
Machine learning.
موضوع مستند نشده
Natural language processing (Computer science)
موضوع مستند نشده
Python (Computer program language)
موضوع مستند نشده
Artificial intelligence.
موضوع مستند نشده
Computational linguistics.
موضوع مستند نشده
Computers-- Intelligence (AI) & Semantics.
موضوع مستند نشده
Computers-- Natural Language Processing.
موضوع مستند نشده
Computers-- Neural Networks.
موضوع مستند نشده
Machine learning.
موضوع مستند نشده
Natural language & machine translation.
موضوع مستند نشده
Natural language processing (Computer science)
موضوع مستند نشده
Neural networks & fuzzy systems.
موضوع مستند نشده
Python (Computer program language)
رده بندی ديویی
شماره
006
.
35
رده بندی کنگره
شماره رده
QA76
.
9
.
N38
نشانه اثر
.
S656
2018eb
نام شخص به منزله سر شناسه - (مسئولیت معنوی درجه اول )
مستند نام اشخاص تاييد نشده
Srinivasa-Desikan, Bhargav.
مبدا اصلی
تاريخ عمليات
20200823060505.0
قواعد فهرست نويسي ( بخش توصيفي )
pn
دسترسی و محل الکترونیکی
نام الکترونيکي
مطالعه متن کتاب اطلاعات رکورد کتابشناسی
نوع ماده
[Book]
اطلاعات دسترسی رکورد
تكميل شده
Y
