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Introduction to Word Embeddings - 1 | Word Embeddings | NLP | LearnAI
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Part1:
What is word Embeddings?
Why we need word Embeddings?
Types of word Embeddings:
Frequency Based
Prediction Based
Frequency Based
Count Vectorizer
Part2:
Limitations of Count Vectorizer
Hashing Vectorizer
TF-IDF Vectorizer
Limitations of TF-IDF Vectorizer
Part3:
Prediction Based Word Embeddings
CBOW
SkipGram
How to improve the accuracy
Architecture of Google's pre-trained Word2Vec model
Problems with Word2Vec
Resolving them with
Subsampling
Negative Subsampling
Training own Word2Vec model
Using Google's pre-trained Word2Vec model
Sentence Classification using Keras Embeddings
Part4:
Sentence Embedding
Doc2Vec of Gensim
Sent2Vec Library
#AI
#naturallanguageprocessing
#nlp
#wordembedding
#word2vec
#doc2vec
#sent2vec
#tfidf
What is word Embeddings?
Why we need word Embeddings?
Types of word Embeddings:
Frequency Based
Prediction Based
Frequency Based
Count Vectorizer
Part2:
Limitations of Count Vectorizer
Hashing Vectorizer
TF-IDF Vectorizer
Limitations of TF-IDF Vectorizer
Part3:
Prediction Based Word Embeddings
CBOW
SkipGram
How to improve the accuracy
Architecture of Google's pre-trained Word2Vec model
Problems with Word2Vec
Resolving them with
Subsampling
Negative Subsampling
Training own Word2Vec model
Using Google's pre-trained Word2Vec model
Sentence Classification using Keras Embeddings
Part4:
Sentence Embedding
Doc2Vec of Gensim
Sent2Vec Library
#AI
#naturallanguageprocessing
#nlp
#wordembedding
#word2vec
#doc2vec
#sent2vec
#tfidf
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